Rhetoric Versus Reality? A Comparative Study of Public and Non‐Public Sector Employees' Perceptions of Discrimination
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
ABSTRACT How people are treated in the workplace is of increasing concern, with many scholars arguing that the government, as an employer, should set the standard for equitable treatment. While attention to equity in public administration has grown in research and practice, minimal work has comparatively explored discrimination in the public and non‐public sectors. Drawing on data from the 2018 European Social Survey, this study explores possible differences in how public and non‐public employees perceive discrimination and how perceptions vary across countries. In most countries, the differences between the sectors were not significant, but the findings show that the country, administrative culture, and sociodemographic variables play a role in perceptions of discrimination. This exploratory study makes an important empirical contribution by accumulating evidence of perceptions of discrimination across countries and has practical implications for human resource management practitioners.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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