Distributional dynamics following a technological revolution
Bibliographic record
Abstract
In this paper we explore the link between technological change and the dynamics of employment, production, and the distribution of earnings. Technological change not only advances society's collective capability but also changes the relative productivities of its members. The latter effect establishes the likely winners and losers from advances in productive capabilities, provides a mechanism that can generate cyclical fluctuations in output as well as employment, and determines the evolution of the earnings distribution. Dynamique de la répartition à la suite d'une révolution technologique . Ce mémoire examine le lien entre le changement technologique et la dynamique de l'emploi, de la production et de la répartition des revenus. Le changement technologique n'augmente pas seulement la capacité collective d'une société mais modifie aussi les productivités relatives de ses membres. Ce dernier effet crée des gagnants et des perdants, déclenche un mécanisme qui peut générer des fluctuations cycliques tant dans le niveau de production que dans celui de l'emploi, et détermine l'évolution de la répartition des revenus.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".