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
We study whether war service by one generation affects service by the next generation in later wars, in the context of the major US theaters of the 20th century. To identify a causal effect, we exploit the fact that general suitability for service implies that how close to age 21 an individual's father happened to be at a time of war is a key determinant of the father's likelihood of participation. We find that a father's war service experience has a positive and significant effect on his son's likelihood of service. We estimate an intergenerational transmission parameter of approximately 0.1, across all wars, and that each individual war had a substantial impact on service in those that followed. We find evidence consistent with cultural transmission of war service from fathers to sons, and with the presence of substitutability between this direct transmission and oblique transmission (from society at large). In contrast, father's war service increases sons' educational achievement and actually reduces the likelihood of military service outside of wartime, suggesting that the results cannot be explained by material incentives or broader occupational choice. Taken together, our results indicate that a history of wars helps countries overcome the collective action problem of getting citizens to volunteer for war service.
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 | 0.014 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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