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Record W1607946804 · doi:10.1353/cja.2007.0025

Andrew W. Wister. Baby Boomer Health Dynamics: How Are We Aging?. Toronto, ON: University of Toronto Press, 2005.

2006· article· fr· W1607946804 on OpenAlexaffabout
Kathi Wilson

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesBaby boomersPolitical scienceArt

Abstract

fetched live from OpenAlex

RÉSUMÉ Le livre d'Andrew Wister offre un examen en profondeur du vieillissement en santé de la génération du baby-boom au Canada. À l'aide d'études portant sur plus de vingt années de données sur la santé des Canadiens, Wister évalue de quelle façon les baby-boomers vieillissent en lien présente avec trois principales démensions du mode de vie (tabagisme, consommation d'alcool et exercice). Le livre présente un examen critique du paradoxe exercice obésité – même si les baby-boomers d'aujourd'hui ont des comportements relativement plus sains, le taux d'obésité et de maladies chroniques s'est accru au fil du temps. Il apporte une contribution importante aux débats existants sur la façon dont les baby-boomers vieillissent, et ses conclusions soulèvent d'importantes réflexions tant pour la recherche que pour les politiques futures.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.233
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.014
Science and technology studies0.0030.003
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0500.012

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 head0.015
GPT teacher head0.241
Teacher spread0.225 · 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
GenreReview

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
Published2006
Admission routes2
Has abstractyes

Explore more

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