MétaCan
Menu
← Back to cohort
Record W6907761975 · doi:10.25318/1310038901-fra

Espérance de vie, à la naissance et à 65 ans, selon le sexe, moyenne de trois ans, Canada, provinces, territoires, régions sociosanitaires et groupes de régions homologues

2025· dataset· fr· W6907761975 on OpenAlexaboutno aff

Bibliographic record

VenueStatistics Canada Dissemination · 2025
Typedataset
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationContext (archaeology)Order (exchange)Field (mathematics)

Abstract

fetched live from OpenAlex

L'espérance de vie est le nombre d'années que devrait en principe vivre une personne à compter de la naissance (pour l'espérance de vie à la naissance) ou à 65 ans (pour l'espérance de vie à 65 ans), selon les statistiques de mortalité sur la période d'observation retenue. L'espérance de vie est un indicateur de la santé d'une population d'usage très répandu. L'espérance de vie est une mesure de quantité plutôt que de qualité de vie.

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)0.009
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.057
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.013
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0360.023

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 head0.005
GPT teacher head0.256
Teacher spread0.251 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueStatistics Canada Dissemination→French-language works237,207→