Long-Term Consequences of Natural Resource Booms for Human Capital Accumulation
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
Tight labor markets driven by resource booms could increase the opportunity cost of schooling and crowd out human capital formation. For oil-producing economies such as the Province of Alberta, the OPEC oil shocks during the period from 1973 to 1981 may have had an adverse long-term effect on the productivity of the labor force if the oil boom resulted in workers reducing their ultimate investment in human capital rather than merely altering the timing of schooling. The authors analyze the effect of this decade-long oil boom on the long-term human capital investments and productivity for Alberta birth cohorts that were of normal schooling ages before, during, and after the oil boom. Their findings suggest that resource booms may change the timing of schooling but they do not reduce the total accumulation of human capital.
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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 | 0.001 | 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) | 0.001 | 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