Condensed Results Report of PROTECT's Research on Surveying Civil Societies' Attitudes
Bibliographic record
Abstract
This summary focuses on the role of Civil Society Organisations (CSOs) in international protection and their relationship with the Global Compacts on Refugees and on Migration. As key actors in connecting the political sphere with on-the-ground activity, CSOs represent an essential part of the overall picture in the operation of international protection, a fact that has only been heightened by the Global Compacts’ mission to broaden and make more inclusive the mechanisms that derive from the 1951 Refugee Convention. A mixed-methods approach has been undertaken to understanding the nature, activities and dispositions of CSOs across the European Union (EU), Canada, South Africa and in the international system more widely, producing a number of outputs that connect this back to the overarching PROTECT theoretical modelling of Sicakkan’s (2021) cleavage approach. In this report, we present the main research questions, the findings and a number of academic- and practitioner-oriented conclusions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".