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Record W7096381862

Printed in Great Britain,99 Lalonde and beyond: Looking back at "A New Perspective on the Health of Canadians'

2016· article· en· W7096381862 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthHealth promotionPerspective (graphical)Government (linguistics)Health careInternational health
DOInot available

Abstract

fetched live from OpenAlex

the first significant government report to suggest that health care services were not the most important deter-minant of health. After reviewing the evidence, the report suggested that there were four "health fields"— lifestyle, environment, health care organization, human biology—and that major improvements in health would result primarily from improvements in lifestyle, environment and our knowledge of human biology. Lalonde also indicated a broad understanding of the determinants of health in subsequent speeches. While the report was greeted sympathetically at the time, it did not have all that significant an impact in Canada. It was criticised on a number of grounds, in particular that it paid too much attention to lifestyle and too little attention to environment. Further-more, because health is a provincial responsibility in Canada, while the report was a federal report, there was no mechanism readily available to implement the recommendations of the report. The report was nonetheless widely hailed outside Canada, and similar (and often better) reports were published in Britain, the USA, Sweden and elsewhere. The report remains a highly regarded contribution to the transformation in thinking about health that has occurred in the past decade. Since the report was published, our models, con-cepts and thinking have advanced considerably. More sophisticated and comprehensive models of the deter-minants of health are available; national health goals and strategies have been developed in a number of countries; our concepts of health promotion have moved well beyond essentially "victim-blaming " life-style approaches to multi-faceted, community based approaches; there is increasing interest in the health implications of public policy in non-health policy sec-tors, and we have begun to articulate a more positive vision of health.

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)0.002
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: Commentary · Consensus signal: none
Teacher disagreement score0.165
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0060.003
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1650.037

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 head0.078
GPT teacher head0.340
Teacher spread0.261 · 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
GenreCommentary

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
Published2016
Admission routes1
Has abstractyes

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