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
Purpose In the automobile industry, the variety of vehicles produced continues to increase. At the same time, historically firms have incurred a sizeable productivity penalty for producing more variety in their plants. The purpose of this paper is to answer the question: what actions have firms taken to control this productivity penalty and what were the costs? Design/methodology/approach Estimate a number of statistical models of the effect of variety on productivity for a sample that includes almost all assembly plants in North America from 1994 to 2004. Findings Evidence is found for fixed costs associated with activities that are complementary to producing variety and for a trade‐off between scale economies and flexibility. Research limitations/implications Provides evidence that while flexibility has an advantage to cope with increasing variety, there are non‐negligible costs as well. Originality/value A first systematic evaluation on the scale‐scope trade‐off and a quantification of the gains from production flexibility in the automotive industry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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