Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Motivated by a growing literature in the social sciences suggesting that the transition to fatherhood has a profound effect on men’s values, we study how the wages of employees change after a male chief executive officer (CEO) has children, using comprehensive panel data on the employees, CEOs, and families of CEOs in all but the smallest Danish firms between 1996 and 2006. We find that (a) a male CEO generally pays his employees less generously after fathering a child, (b) the birth of a daughter has a less negative influence on wages than does the birth of a son and has a positive influence if the daughter is the CEO’s first, and (c) the wages of female employees are less adversely affected than are those of male employees and positively affected by the CEO’s first child of either gender. We also find that male CEOs pay themselves more after fathering a child, especially after fathering a son. These results are consistent with a desire by the CEO to husband more resources for his family after fathering a child and the psychological priming of the CEO’s generosity after the birth of his first daughter and specifically toward women after the birth of his first child of either gender.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it