Review Of "Forgotten Families: Ending The Growing Crisis Confronting Children And Working Parents In The Global Economy" By J. Heymann
Bibliographic record
Abstract
Heymann (McGill Univ.) provides a richly detailed and enlightening picture of the challenges faced by working parents and their families around the world and highlights how parents care for their children, the problems they face in doing so, and how the children fare, all in a world shaped by globalization. The findings are analyzed with sensitivity to both existing public policies and how policies need to change to provide superior solutions. The research is based on national household surveys of a set of seven geographically dispersed countries (US, Mexico, Brazil, Russia, South Africa, Botswana, and Vietnam) that vary along multiple dimensions. Survey data are enriched by interviews with parents, teachers, and others; the interwoven quantitative and qualitative data document working families' problems and their often-imperfect solutions. The book calls for more supportive and integrated public policies to help working families, and it challenges countries to adopt a collective approach to finding solutions that acknowledge the interdependence associated with globalization. Although barriers to international cooperation may cause some readers to question the feasibility of meeting this challenge, Heymann makes a compelling case for the need to do so. Summing Up: Highly recommended. Upper-division undergraduate through professional collections.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".