BRIDGING THE DIVIDE? Integrating the Functions of National Equality Bodies and National Human Rights Institutions in the European Union
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 study concentrates upon developments in five EU member states, where integrated bodies have been or are in the course of being established: Belgium, Denmark, Ireland, the Netherlands and the UK (with specific reference to Britain). Five in-depth expert reports were prepared for this study, which analysed how the integration process has proceeded in each of hese states: all of these reports were based on data collected through a combination of deskbased research and interviews with key stakeholders from civil society, government departments, academia and the institutions directly affected by the integration process. This study also refers to the recent integration of the French NEB - Haute Autorité de Luttecontre les Discriminations et pour l’Egalité (HALDE) - within the institution of the Défenseur des Droits in France, which was the subject of a sixth in-depth expert report, and to the experience of the Polish Ombudsman in combining the functions of a NEB and a NHRI as extensively documented in academic and official publications. Reference is also made to developments in other EU states and non-EU states such as Australia and Canada whereappropriate, and to the results of further desk-based research and interviews with representatives of the European Network of Equality Bodies (Equinet), the European Network of Human Rights Institutions, the EU Agency for Fundamental Rights (FRA), the UN Office for the High Commissioner on Human Rights (OHCHR) and the European Commission.
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 | 0.017 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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