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Record W4399190365 · doi:10.1515/9782763735924-fm

Front Matter

2017· paratext· fr· W4399190365 on OpenAlexaff
Sylvie Octobre

Bibliographic record

Venuenot available
Typeparatext
Languagefr
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversité LavalBusiness Development Bank of Canada
Fundersnot available
KeywordsFront (military)GeologyOceanography

Abstract

fetched live from OpenAlex

Dirigée par Madeleine GauthierDepuis trois décennies, les études sur les jeunes ont connu un foisonnement sans précédent dans toutes les sociétés, du moins en Occident.Toutes les disciplines des sciences sociales ont été mises à contribution à des degrés divers.Des chantiers de recherche ont été ouverts çà et là, selon les perceptions, les besoins, les questions du moment.Cette collection réunit des ouvrages portant sur l'état des travaux réalisés sur la jeunesse dans différents pays du monde afin de mesurer l'ampleur et l'importance de ces travaux, mais surtout d'en faire ressortir les principales thématiques et la manière de les aborder selon les sociétés.D'où devrait se dégager, à travers l'inventaire des travaux, une meilleure connaissance de la jeunesse du monde.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other
Teacher disagreement score0.146
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0020.004
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.8540.772

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 head0.022
GPT teacher head0.304
Teacher spread0.282 · 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 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
Published2017
Admission routes1
Has abstractyes

Explore more

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