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Record W7110233850 · doi:10.5281/zenodo.17850206

Open Politics

2025· article· W7110233850 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldSocial Sciences
TopicScience and Science Education
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsPoliticsSupreme courtOpen governmentLegislatureEconomic JusticePower (physics)Order (exchange)Public interestAudit

Abstract

fetched live from OpenAlex

Open Politics is the application of open source governance best practices in the scientific methodology public policies secure operations development (DevSecOps). It's being researched through my decades of works as an apartisan neutral technical legislative task forces, supreme courts amicus curiae, and executive power curatorial jury analyst and compiled for a scholar consultancy for the Brazil Federal Public Ministry (MPF) department of justice to be vastly reviewed for the Brazil Supreme Military Court (SCM) and Order of Lawyers of Brazil (OAB) 'Military Law' Summit. Its openly disclosed interest is the establishment of more transparently audited open houses of policymaking, even if the creation of an Open Party is needed for that.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0180.001
Scholarly communication0.0090.002
Open science0.0070.004
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.361
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it