The Intertwining of Disciplinary Concepts between Health Sciences and Economics
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
This paper focuses on the cross usage of terminology originating in one discipline but used in another, using economics and health sciences as our example. We highlight the use by economists of such terms as the brain, depression, and exhaustion whereas currency, elasticity, equilibrium, and optimality are all central notions in economics now being used in health sciences. We suggest that the dual usage occurs in ways where the original use and meaning of terms is not fully mirrored in their use in the other discipline. In part, this may reflect the pressures on researchers in all disciplines to be novel and innovative, and hence the incentive to adopt out of discipline terminology without full appreciation of its full meaning elsewhere. We discuss possible explanations for this characteristic of cross disciplinary use of terminology.
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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 | 0.004 | 0.008 |
| 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 | 0.004 |
| 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