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Record W7017757834

Bulletin du CIRST, vol. 1, no 1

2004· other· fr· W7017757834 on OpenAlexfundno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2004
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
FundersUniversité du Québec à Montréal
KeywordsContext (archaeology)MEDLINESubject (documents)
DOInot available

Abstract

fetched live from OpenAlex

A T I O NLe CIRST entre dans un nouveau cycle de programmation triennale.Le programme de recherche 1997-2000 se situe dans le foulée des travaux des dernières années, mais en mettant l'accent sur des thèmes particuliers.Les textes de ce Bulletin en décrivent quelques uns.Le premier texte, sur la promotion de la recherche universitaire, renvoie à deux thèmes: les institutions d'enseignement supérieur et la culture scientifique.Le second, sur les innovations médicales et le cancer du sein, rejoint le thème des connaissances médicales, alors que le troisième est issu des recherches sur la formation.Ces recherches contribueront certainement à l'avancement des connaissances dans les études sociales en science et technologie.Par ailleurs, ces thèmes ont tous une grande pertinence sociale, politique et économique.Le choix de ces programmes de recherche n'est pas étranger aux débats que nous animent sur l'orientation de la recherche universitaire, les coûts du système de santé et les politiques de formation de la main-d'oeuvre.

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)0.004
metaresearch head score (Gemma)0.013
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.169
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0090.002
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.1690.122

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 head0.008
GPT teacher head0.197
Teacher spread0.190 · 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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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