Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.470 | 0.449 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".