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Record W4367469094 · doi:10.4000/books.igpde.16433

Méta-évaluation

2022· book-chapter· fr· W4367469094 on OpenAlexaff
Steve Jacob

Bibliographic record

VenueInstitut de la gestion publique et du développement économique eBooks · 2022
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsValuation (finance)BusinessAccounting

Abstract

fetched live from OpenAlex

La notion de qualité est au cœur de la pratique évaluative. En portant un jugement de valeur sur les interventions publiques, les évaluateurs contribuent au maintien, à la révision voire à l’abolition de politiques ou de programmes publics. Il est dès lors important que les conclusions et recommandations d’une évaluation soient valides et s’appuient sur un processus rigoureux.Le terme de méta-évaluation est apparu, au cours des années 1960, sous la plume de Michael Scriven (1969) qui avait é...

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)0.118
metaresearch head score (Gemma)0.308
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.624

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1180.308
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0150.028
Bibliometrics0.0160.010
Science and technology studies0.0020.002
Scholarly communication0.0080.006
Open science0.0050.005
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0470.005

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 head0.072
GPT teacher head0.311
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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