Bibliographic record
Abstract
Studies of early-career teachers in the 1970s–1990s find that one-quarter to one-half of teachers who left the classroom eventually returned and that returning was associated with teachers’ gender and their child-rearing responsibilities. However, much has changed in the last forty years. Women are more likely to continue to participate in the labor force after having children, and teacher labor markets have been impacted by federal policy (e.g., No Child Left Behind, Race to the Top) and the Great Recession. Using data from the National Longitudinal Survey of Youth 1997 (NLSY97), I find that only one-fifth of teachers who exited the profession from 2000–2019 returned. This is a substantially lower rate of return compared to similar work using a previous cohort of teachers from NLSY79. Furthermore, I do not find evidence that teacher reentry is associated with gender or child-rearing status. These findings have implications for teacher labor markets, as reentering teachers can expand the pool of experienced teachers.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".