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 report provides new evidence on the increasing dispersion in wages and productivity using novel micro-aggregated firm-level data from 16 countries. First, the report documents an increase in wage and productivity dispersions, for both manufacturing and market services. Second, it shows that these trends are driven by differences within rather than across sectors, and that the increase in dispersion is mainly driven by the bottom of the distribution, while divergence at the top occurs only in the service sector, and only after 2005. Third, it suggests that between-firm wage dispersion is linked to increasing differences between high and low productivity firms. Fourth, it suggests that both globalisation and digitalisation imply higher wage divergence, but strengthen the link between productivity and wage dispersion. Finally, it investigates the impact of minimum wage, employment protection legislation, trade union density, and coordination in wage setting on wage dispersion and its link to productivity dispersion.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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