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Record W4392265208 · doi:10.59350/11nn5-3z953

Policy for Culture Change: Making data sharing the default

2017· preprint· en· W4392265208 on OpenAlexaboutno aff
Cameron Neylon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsnot available
Fundersnot available
KeywordsData sharingOpen dataBusinessPolitical scienceCenter (category theory)Public relationsPublic administrationLaw

Abstract

fetched live from OpenAlex

Open Access week is a fitting time to be finalising a project on Open Data. About two years ago I started working with the Canadian development funder, the International Development Research Center, to look at the implementation of Open Data policy. This week the final report for that project is being published.

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)0.294
metaresearch head score (Gemma)0.569
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesMetaresearch
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.989
Threshold uncertainty score0.871

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2940.569
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.007
Science and technology studies0.0180.036
Scholarly communication0.0420.092
Open science0.0110.044
Research integrity0.0240.041
Insufficient payload (model declined to judge)0.0470.015

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 head0.379
GPT teacher head0.511
Teacher spread0.131 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainReproducibility
GenreCommentary

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

Citations0
Published2017
Admission routes1
Has abstractyes

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