Bibliographic record
Abstract
In this paper, we analyze the interactions between growth and the contracting environment in the production sector. Allowing incompleteness in contracting implies that viable production relationships for rms and workers, and therefore the protability of industries, depend on the rates of innovation and growth. The speed at which new innovations arrive in turn depends on the protability of production, for the usual reasons examined in the endogenous growth literature. We show that these interactions can have important implications which are consistent with observed phenomena in both the micro and macro environment. In particular, we demonstrate that a technological shock (increasing productivity of research) can, through this interaction, lead to a productivity slowdown and a shift in labor market contracts away from rms providing implicit guarantees of lifetime employment and towards shorter-term \\contractor" type arrangements. We show the consistency of an increase in the proportion of the labor force under short term employment, increased relative returns of workers in high productivity sectors, and increased income inequality, with a productivity slowdown of nite duration. / Both authors are grateful to the SSHRC for flnancial support. We would like to thank seminar participants at Queen's, Toronto, Brock, Waterloo, and York Universities in Canada, and Melbourne and LaTrobe Universities in Australia for helpful comments, and Dan Bernhardt, Jefi Borland, Mark Crosby, Nancy Gallini, Huw Lloyd-Ellis, Nathan Nunn, Ian McDonald, James MacKinnon, Michael Smart, Gregor Smith, and Aloysius Siow, for discussions. We have also beneflted greatly from the comments of the editor and two anonymous referees of this journal. The usual disclaimer applies. 1 1
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".