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Record W4399314782 · doi:10.7202/1107557ar

L’ASSURANCE DE PERSONNES AU QUÉBEC DEPUIS 1930

2002· article· fr· W4399314782 on OpenAlexaboutno aff
Jacques Saint-Pierre, Diane Saint‐Pierre

Bibliographic record

VenueAssurances : · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Depuis l’émergence des francophones dans ce secteur de l’économie durant les années 1930 et 1940, jusqu’au mouvement actuel de démutualisation des principales sociétés, l’industrie de l’assurance de personnes a connu des progrès considérables au Québec. La réforme des lois et règlements et l’élargissement de la gamme de produits offerts par les compagnies en réponse aux besoins de la population ont favorisé ce développement. Les assureurs québécois ont été à l’affût des nouvelles tendances apparues aux États-Unis. En matière de décloisonnement des services financiers, ils ont même été à l’avant-garde au pays. À l’heure de la mondialisation des marchés, ils se trouvent confrontés à de nouveaux défis liés à une concurrence croissante des autres institutions financières, aux changements technologiques, au vieillissement de la population, pour ne nommer que ceux-là.

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)0.003
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.019
GPT teacher head0.224
Teacher spread0.206 · 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
Published2002
Admission routes1
Has abstractyes

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