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Author: Admin

The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation

Posted on April 9, 2026April 10, 2026 by Admin
Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19489083  45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

— title: “The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation” author: “Oleh Ivchenko” series: “Trusted Open Source” — ## Abstract Open source software forks have long been viewed as existential threats to project stability, yet evidence increasingly suggests that forks serve dual roles: catalysts for innovation and sources...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19489083 45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI9%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic27%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Closing the Gap: Evidence-Based Strategies That Actually Work

Posted on April 8, 2026April 9, 2026 by Admin
Gap Research
Gap Research by Oleh Ivchenko  67stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources33%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]2,575✓Minimum 2,000 words for a full research article. Current: 2,575
[d]DOI [REQ]✗✗Zenodo DOI registered for persistent citation
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts2✓Original data charts from reproducible analysis (min 2). Current: 2
[g]Code✓✓Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (74 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)

Evidence-based strategies transform AI adoption from aspiration into measurable outcomes Stabilarity Research Hub April 2026 DOI: 10.5281/zenodo.19117123 Abstract The capability-adoption gap in artificial intelligence is well-documented but poorly addressed. While organizations invest heavily in AI development and deployment, measurable adoption rates consistently lag behind projected capabilit...

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Gap Research by Oleh Ivchenko 67stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources33%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]2,575✓Minimum 2,000 words for a full research article. Current: 2,575
[d]DOI [REQ]✗✗Zenodo DOI registered for persistent citation
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts2✓Original data charts from reproducible analysis (min 2). Current: 2
[g]Code✓✓Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (74 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
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Production Cache Monitoring — Metrics and Capacity Planning

Posted on March 30, 2026 by Admin
Technical Research
Technical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19340506  75stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources48%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI57%○≥80% have a Digital Object Identifier
[b]CrossRef52%○≥80% indexed in CrossRef
[i]Indexed74%○≥80% have metadata indexed
[l]Academic70%○≥80% from journals/conferences/preprints
[f]Free Access43%○≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]2,607✓Minimum 2,000 words for a full research article. Current: 2,607
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19340506
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]85%✓≥60% of references from 2025–2026. Current: 85%
[c]Data Charts5✓Original data charts from reproducible analysis (min 2). Current: 5
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (72 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

As key-value (KV) cache systems become the dominant memory consumer in production large language model (LLM) inference, the ability to monitor cache behavior and plan capacity proactively determines whether deployments meet service-level objectives (SLOs) or suffer unpredictable degradation. This article investigates three research questions addressing (1) which monitoring metrics most reliably...

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Technical Research by Oleh Ivchenko DOI: 10.5281/zenodo.19340506 75stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources48%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI57%○≥80% have a Digital Object Identifier
[b]CrossRef52%○≥80% indexed in CrossRef
[i]Indexed74%○≥80% have metadata indexed
[l]Academic70%○≥80% from journals/conferences/preprints
[f]Free Access43%○≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]2,607✓Minimum 2,000 words for a full research article. Current: 2,607
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19340506
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]85%✓≥60% of references from 2025–2026. Current: 85%
[c]Data Charts5✓Original data charts from reproducible analysis (min 2). Current: 5
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (72 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
AI MemoryRead More
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Tax Evasion Mechanisms in Ukraine: A Typology of Shadow Economy Channels

Posted on March 26, 2026 by Admin
Economic Research
Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.19229248  58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources40%○≥80% from editorially reviewed sources
[t]Trusted50%○≥80% from verified, high-quality sources
[a]DOI60%○≥80% have a Digital Object Identifier
[b]CrossRef40%○≥80% indexed in CrossRef
[i]Indexed50%○≥80% have metadata indexed
[l]Academic60%○≥80% from journals/conferences/preprints
[f]Free Access90%✓≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]2,515✓Minimum 2,000 words for a full research article. Current: 2,515
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19229248
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]58%✗≥60% of references from 2025–2026. Current: 58%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (58 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)

Ukraine's shadow economy remains one of the largest in Europe, with wartime conditions creating both new evasion channels and shifting the composition of existing ones. This article develops a comprehensive typology of tax evasion mechanisms operating in Ukraine, classifying shadow economy channels along three dimensions: mechanism type, sectoral concentration, and detection difficulty. Drawing...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.19229248 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources40%○≥80% from editorially reviewed sources
[t]Trusted50%○≥80% from verified, high-quality sources
[a]DOI60%○≥80% have a Digital Object Identifier
[b]CrossRef40%○≥80% indexed in CrossRef
[i]Indexed50%○≥80% have metadata indexed
[l]Academic60%○≥80% from journals/conferences/preprints
[f]Free Access90%✓≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]2,515✓Minimum 2,000 words for a full research article. Current: 2,515
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19229248
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]58%✗≥60% of references from 2025–2026. Current: 58%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (58 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Shadow Economy Dyn…Read More
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The Open Humanoid Manifesto: An Open-Source Blueprint for Accessible Humanoid Robotics

Posted on March 22, 2026 by Admin
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19157578  58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted65%○≥80% from verified, high-quality sources
[a]DOI35%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic59%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,954✓Minimum 2,000 words for a full research article. Current: 2,954
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19157578
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The humanoid robotics field stands at an inflection point: global market projections exceed two billion dollars in 2026, yet the engineering knowledge required to build a functional bipedal robot remains concentrated within a small number of well-funded corporations and elite research laboratories. This article presents the Open Humanoid Manifesto — a comprehensive open-source blueprint that sy...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19157578 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted65%○≥80% from verified, high-quality sources
[a]DOI35%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic59%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,954✓Minimum 2,000 words for a full research article. Current: 2,954
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19157578
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Open HumanoidRead More
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Sensing and Perception: IMU, Depth Cameras, Force-Torque Sensors, and Sensor Fusion for Humanoid Robots

Posted on March 12, 2026March 12, 2026 by Admin
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18978273  59stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI13%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed88%✓≥80% have metadata indexed
[l]Academic88%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References8 refs○Minimum 10 references required
[w]Words [REQ]2,183✓Minimum 2,000 words for a full research article. Current: 2,183
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18978273
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]13%✗≥60% of references from 2025–2026. Current: 13%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (64 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Reliable locomotion and manipulation in a bipedal humanoid robot depend fundamentally on the quality, latency, and fusion of sensory data. This article presents the sensing and perception subsystem specification for the Open Humanoid platform, covering inertial measurement units (IMUs), stereo depth cameras, six-axis force-torque sensors, tactile arrays, and joint encoders. We analyse sensor pl...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.18978273 59stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI13%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed88%✓≥80% have metadata indexed
[l]Academic88%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References8 refs○Minimum 10 references required
[w]Words [REQ]2,183✓Minimum 2,000 words for a full research article. Current: 2,183
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18978273
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]13%✗≥60% of references from 2025–2026. Current: 13%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (64 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Review: Beyond the Illusion of Consensus — What the LLM-as-a-Judge Paradigm Gets Dangerously Wrong

Posted on March 12, 2026March 12, 2026 by Admin
Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18973500  61stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI29%○≥80% have a Digital Object Identifier
[b]CrossRef14%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic100%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References7 refs○Minimum 10 references required
[w]Words [REQ]1,715✗Minimum 2,000 words for a full research article. Current: 1,715
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18973500
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]14%✗≥60% of references from 2025–2026. Current: 14%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (77 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

Song, Zheng, and Xu (2026) argue that the LLM-as-a-judge paradigm rests on a fundamentally flawed assumption: that high inter-evaluator agreement signals reliable, objective evaluation. Through a large-scale empirical study involving 105,600 evaluation instances (32 LLMs evaluated across 3 frontier judges, 100 tasks, and 11 temperature settings), they introduce "Evaluation Illusion," wherein ju...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.18973500 61stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI29%○≥80% have a Digital Object Identifier
[b]CrossRef14%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic100%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References7 refs○Minimum 10 references required
[w]Words [REQ]1,715✗Minimum 2,000 words for a full research article. Current: 1,715
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18973500
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]14%✗≥60% of references from 2025–2026. Current: 14%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (77 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
Future of AIRead More
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Measuring State Fragility: An Empirical RSI Framework Applied to Ukraine

Posted on March 12, 2026March 13, 2026 by Admin
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18998198  42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted50%○≥80% from verified, high-quality sources
[a]DOI50%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed50%○≥80% have metadata indexed
[l]Academic50%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References2 refs○Minimum 10 references required
[w]Words [REQ]1,260✗Minimum 2,000 words for a full research article. Current: 1,260
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18998198
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (46 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

We built something. Not a dashboard, not a report, not another data visualization that looks impressive but tells you nothing actionable. We built a ruler. A ruler that measures the same thing — instability — whether you point it at a country, a city, or a neighbourhood. The same 0-to-1 scale. The same formula. The same question: how close is this place to falling apart?

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18998198 42stabilfr·wdophcgmx
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[a]DOI50%○≥80% have a Digital Object Identifier
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[r]References2 refs○Minimum 10 references required
[w]Words [REQ]1,260✗Minimum 2,000 words for a full research article. Current: 1,260
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (46 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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When the Economy Collapses, the Government Follows: Mapping the Dependency Between Economic and Political Instability

Posted on March 12, 2026March 12, 2026 by Admin
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18972765  53stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources29%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI43%○≥80% have a Digital Object Identifier
[b]CrossRef29%○≥80% indexed in CrossRef
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[l]Academic43%○≥80% from journals/conferences/preprints
[f]Free Access71%○≥80% are freely accessible
[r]References7 refs○Minimum 10 references required
[w]Words [REQ]2,041✓Minimum 2,000 words for a full research article. Current: 2,041
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18972765
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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Score = Ref Trust (54 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Venezuela's GDP contracted by more than 80 percent between 2013 and 2021 — one of the largest peacetime economic collapses ever recorded. Its political system, meanwhile, had not yet fully collapsed when the economy began its descent. The government survived by concentrating power, suppressing opposition, and externalizing blame. But the sequence is unmistakable: the economy fell first, and pol...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18972765 53stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources29%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI43%○≥80% have a Digital Object Identifier
[b]CrossRef29%○≥80% indexed in CrossRef
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[l]Academic43%○≥80% from journals/conferences/preprints
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[r]References7 refs○Minimum 10 references required
[w]Words [REQ]2,041✓Minimum 2,000 words for a full research article. Current: 2,041
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18972765
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
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[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (54 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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The World Is Less Violent Than in 2000. It Is Also Less Stable. Here Is Why.

Posted on March 12, 2026March 12, 2026 by Admin
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18972000  38stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources20%○≥80% from editorially reviewed sources
[t]Trusted60%○≥80% from verified, high-quality sources
[a]DOI30%○≥80% have a Digital Object Identifier
[b]CrossRef10%○≥80% indexed in CrossRef
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[f]Free Access40%○≥80% are freely accessible
[r]References10 refs✓Minimum 10 references required
[w]Words [REQ]1,883✗Minimum 2,000 words for a full research article. Current: 1,883
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18972000
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
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[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (39 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

The conflict proxy score — our model's aggregate measure of active armed conflict intensity across 87 countries — has fallen from 6.85 in 2000 to 5.20 in 2023. That is a 24% decline over 23 years. By the oldest and most intuitive measure of global danger, the world is meaningfully safer than it was at the turn of the millennium.

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18972000 38stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources20%○≥80% from editorially reviewed sources
[t]Trusted60%○≥80% from verified, high-quality sources
[a]DOI30%○≥80% have a Digital Object Identifier
[b]CrossRef10%○≥80% indexed in CrossRef
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[l]Academic30%○≥80% from journals/conferences/preprints
[f]Free Access40%○≥80% are freely accessible
[r]References10 refs✓Minimum 10 references required
[w]Words [REQ]1,883✗Minimum 2,000 words for a full research article. Current: 1,883
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18972000
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]22%✗≥60% of references from 2025–2026. Current: 22%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (39 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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