Bibliographic record
Abstract
In recent years, breastfeeding has been prominently in the public eye in relation to debates on issues ranging from parental leave policies, work−family balance, public decency, the safety of our food supply, and public health concerns such as health care costs and the obesity “epidemic.” Breastfeeding has officially been considered “the one best way” for feeding infants for the past 150 years of Canadian history. This book examines the history and evolution of breastfeeding policies and practices in Canada from the end of the nineteenth century to the turn of the twenty-first. The authors’ historical approach allows current debates to be situated within a broader social, political, cultural, and economic context. Breastfeeding shifted from a private matter to a public concern at the end of the nineteenth century. Over the course of the next century, the “best” way to feed infants was often scientifically or politically determined, and guidelines for mothers shifted from one generation to the next. Drawing upon government reports, academic journals, archival sources, and interviews with policy-makers and breastfeeding advocates, the authors trace trends, patterns, ideologies, and policies of breastfeeding in Canada.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".