“The Choice Was Made for Us”: Stat-at-Home Dads and Relationalities of Work and Care in Canada and the United States
Bibliographic record
Abstract
The term and concept “stay-at-home dad“ (SAHD) are largely taken for granted in academic, everyday, and popular discourses. Increasing numbers of academic research projects and journal articles use the term to categorize fathers and families; journalists and bloggers often employ it as a shorthand description for fathers who leae fulltime paid work for intermittent or extended periods of time; SAHDs have been front-page news in major online and print news sites, and in television series and movies; government statistics cite growing numbers of SAHDs in many countries, including Canada and the United States (e.g., Livingston, 2013; Statistics Canada, 2012; US Census Bureau, 2013); and more and more researchers are studying SAHDs in Canada and the United States (e.g., Chesley, 2011; Harrington et al., 2012; Latshaw, 2011; Solomon. 2014), as well as in other countries (e.g., Merla, 2008; Ruspini, 2013; Stevens, 2015). Yet in spite of this growing attention, there has been sparse attention given to the conceptual meanings of the SAHD.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.017 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".