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Record W2033448561 · doi:10.7202/602245ar

Faut-il s’inquiéter pour nos revenus de retraite?

2009· article· fr· W2033448561 on OpenAlexvenueaboutno aff
Maurice N. Marchon

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPublicsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Présenter une vision aussi objective que possible de la situation des régimes de pension publics et privés du Québec et du Canada constitue l’objectif premier de ce texte. Les régimes de pensions publics financés par répartition ont accumulé d’énormes déficits actuariels envers les baby-boomers . Le vieillissement de la population touchant presque tous les pays industrialisés pose des défis de taille aux gouvernements. Plusieurs ajustements possibles sont envisagés, notamment d’augmenter rapidement les taux de cotisation afin de mettre à contribution les baby-boomers pendant qu’ils participent encore au marché du travail. Il est toutefois peu probable que ce seul changement sera suffisant pour financer les engagements envers la génération des baby-boomers .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations2
Published2009
Admission routes2
Has abstractyes

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Same venueL Actualité économiqueSame topicFinancial Literacy, Pension, Retirement AnalysisFrench-language works237,207