MétaCan
Menu
Back to cohort

Moi capitaine

2024· article· fr· W4394788151 on OpenAlexaff
Anaïs Vincent

Bibliographic record

VenueHommes & migrations · 2024
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Avec son dernier film Moi capitaine, Lion d’argent à la 80e Mostra de Venise en 2023, Matteo Garrone, réalisateur de Gomorra, Dogman et Pinocchio, revient sur un thème qui lui est cher, celui de l’immigration clandestine. Avec Hôtes (1987) et Terra di Mezzo (1988), il avait en effet déjà porté un point de vue singulier sur cette question. Au Sénégal, Seydou (Seydou Sarr), un jeune adolescent de 15 ans, et son cousin, Moussa (Moustapha Fall), vivent une vie paisible entre devoirs familiaux et...

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)0.000
metaresearch head score (Gemma)0.001
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 score0.131
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1310.019

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 head0.034
GPT teacher head0.375
Teacher spread0.340 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHommes & migrationsSame topicAging, Elder Care, and Social IssuesFrench-language works237,207