From rent seeking to human capital: a model where resource shocks cause transitions from stagnation to growth
Why this work is in the frame
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Bibliographic record
Abstract
Abstract. We present a growth model where agents divide time between rent seeking in the form of resource competition and working in a human capital sector. The latter is interpreted as trade or manufacturing. Rent seeking exerts negative externalities on the productivity of human capital. Adding shocks, in the form of fluctuations in the size of the contested resource, the model can replicate a long phase with stagnant incomes and high levels of rent seeking, interrupted by small, failed growth spurts, eventually followed by a permanent transition to a sustained growth path where rent seeking vanishes in the limit. The model also generates a rise and fall of the so‐called natural resource curse: before the takeoff, an increase in the size of the contested resource has a positive effect on incomes; shortly after the takeoff, the effect is negative; and on the balanced growth path the growth rate of per capita income is independent of resource shocks.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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