Migrants Networks and Survival in the Job: Evidence from Foreign Newcomers on the PGA Tour
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
How do migrant social networks matter for performance in the job? We examine this by constructing a nationality-based network of foreign newcomers when they first begin to play in the PGA TOUR and examine the impact of this initial social network on newcomers’ probability of surviving (i.e., keeping their license) at the end of their inaugural PGA TOUR season. We find that the migrant social network matters among the non-elite group of players in the second tier of the PGA TOUR, but not among the elite group of players in the first tier of the PGA TOUR. For the second-tier tour players, we find that density of connections within a nationality cluster has a sizable positive effect on newcomers’ probability of surviving, but no evidence that the centrality of a nationality cluster in the overall PGA TOUR network has an impact on survival.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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