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Record W2102124797 · doi:10.3968/4435

About Philosophical Sense of Category Reliability

2014· article· en· W2102124797 on OpenAlexvenueno aff
Nikolay Petrov, Angel Tanev

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsPolysemyReliability (semiconductor)CyberneticsEpistemologySOCRATESConvergence (economics)Philosophical analysisPlan (archaeology)Computer scienceSociologyManagement scienceSocial scienceMathematicsArtificial intelligencePhilosophyEngineeringEconomicsHistory

Abstract

fetched live from OpenAlex

The article presents an analysis of the philosophical category reliability amid its polysemy and the current trend towards the convergence of technical, economic and socio-biological sciences. It is emphasized that the tasks for the optimization of existing technical problems in the world are intertwined with the problems of economic and social systems. In other words, it makes sense to talk about the reliability of the society and its systems not only in the gnoseological plan, but also in terms of his ontological characteristic and criterion for development. The necessity for theoretical analysis and synthesis of ultra-large and ultra-complex systems for cybernetic management requires reinvention of the old philosophical categories from the time of Greek philosophers: Aristotle, Socrates, and Plato.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0060.039
Scholarly communication0.0070.019
Open science0.0020.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.408
Teacher spread0.366 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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