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Bac Nord

2021· article· fr· W4210373200 on OpenAlexaff
Mouloud Mimoun

Bibliographic record

VenueHommes & migrations · 2021
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEuropean Socioeconomic and Political Studies
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Bac Nord de Cédric Jimenez est la surprise de la rentrée en termes de fréquentation avec 900 000 entrées en deux semaines, ce qui est énorme, et le rythme ne faiblit pas alors même que la pandémie affecte les entrées en salles.Bac Nord est un thriller musclé qui n’est pas sans rappeler le meilleur des polars américains tels French Connection ou les réalisations de Clint Eastwood. Le film de Cédric Jimenez s’inspire d’un fait divers qui a agité le landerneau judiciaire et policier de Marseill...

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)0.002
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 score0.241
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2410.076

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 head0.044
GPT teacher head0.250
Teacher spread0.205 · 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
Published2021
Admission routes1
Has abstractyes

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