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Record W2023857450 · doi:10.7202/601499ar

L’impact du choc démographique sur le niveau de vie à long terme

2009· article· fr· W2023857450 on OpenAlexaffvenueabout
Pierre Fortin

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languagefr
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Toutes les sociétés industrielles évoluent maintenant dans un régime de sous-fécondité qui relève de causes profondes et durables (notamment technologiques) et qui s’accompagne d’un changement radical et définitif du rôle des femmes. Sur le plan de l’emploi comme sur le plan des salaires, le ralentissement démographique qui en découle aura sans doute des conséquences favorables sur les enfants du baby-bust qui ont aujourd’hui moins de 25 ans et des conséquences défavorables pour les enfants du baby-boom qui entrent aujourd’hui dans le groupe des 45 ans ou plus. Un calcul économique de première approximation fondé sur le modèle de croissance de Solow prévoit une baisse du profil de la consommation globale par adulte qui pourrait atteindre 5 ou 6 pour cent au Canada d’ici 2011-2016, mais qui s’atténuerait par la suite. Le choc démographique n’entraînerait donc pas de tragédie économique. Ce résultat dépend surtout des effets opposés qu’auront sur la consommation la chute du taux de croissance démographique (favorable) et l’augmentation du rapport de dépendance (défavorable).

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.001

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 head0.058
GPT teacher head0.371
Teacher spread0.313 · 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 designObservational
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

Citations1
Published2009
Admission routes3
Has abstractyes

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