Bibliographic record
Abstract
Public health is diffuse, divided, and poorly understood. As a policy and practice, public health promotes and protects people and communities. As a field of academic inquiry it provides deep insights into the ways individuals and collectives can work within societies to prevent disease and promote health and health equity. Public health is a broad, intersectoral, and interdisciplinary field of scholarship, activism, policy, and practice with the potential to create and support immense change. This is a story of one hundred years of public health in Alberta. Drawing on extensive research, including interviews with members of Alberta’s public health communities, A History of Public Health in Alberta, 1919-2019 considers institutions, sectors, populations, and activities that constitute the study and practice of public health. It offers a consolidated narrative from a contemporary perspective, paying particular attention to significant and entrenched social inequities of health and their determinants, the emergence of new public health concerns, and communities of public health, including activists, practitioners, scholars, and the public itself. A History of Public Health in Alberta, 1919-2019 draws together the threads of public health policy, practice, and research, mapping its contours and presenting a holistic view of public health in the province over time. Prompted by the concern, and the experience, that public health is frequently deeply misunderstood, this book articulates a history of the field and practice essential to understanding how we may best mobilize to support well-being and health equity across populations.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.832 | 0.693 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".