MétaCan
Menu
Back to cohort
Record W4385599653 · doi:10.59962/9780774880275-001

Foreword

2017· book-chapter· en· W4385599653 on OpenAlexaboutno aff
André Picard

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHistorical and modern epidemiology studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

In 1973, a fifteen-second public service announcement was broadcast showing a sixty-year-old Swede jogging effortlessly alongside a huffing and puffing thirty-year-old Canadian.That PSA from ParticipACTION, although broadcast only six times, created an iconic image and sparked a national conversation on fitness, as well as massive investments in sport and recreation infrastructure.The next year, 1974, then Minister of Health and Welfare Marc Lalonde issued his landmark report, A New Perspective on the Health of Canadians.It suggested that health should be considered distinct from medicine and that the "health field" should be broken into four broad areas: human biology, environment, lifestyle, and health care organization -in other words, "determinants of health exist outside of the health care systems."While that message was more profound and potentially influential, it was greeted with a lot less enthusiasm than the "get fit" meme -at least in Canadian political circles and outside the confines of academia.But other countries -particularly the Nordic countries, including Sweden -did take the Lalonde report philosophy to heart, recognizing that the best way to improve the health of their populations was to invest in social programs, not just sickness care.Today, if we were to produce a PSA, the sixty-year-old Swede would still be more fit than his younger Canadian counterpart, but he would also live in a country where there is far less child poverty and homelessness,

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.243
Teacher spread0.189 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooksSame topicHistorical and modern epidemiology studiesFrench-language works237,207