State-Funded Activism: Lessons from Civil Society Organizations in Ireland
Bibliographic record
Abstract
Civil society organizations (CSOs) in Ireland receive significant state funding and institutional support according to the logic that they are important contributors to democratic governance, with the effect that the CSO sector has expanded and become more embedded in formal decision-making processes over the past several decades. At the same time, dependency on government funding exposes CSOs to three important challenges: to stay true to activist mandates in the face of pressure from state funders to focus on service provision; to maintain accountability to constituents while also satisfying the vertically oriented accountability requirements of the state; and to nurture collaboration among CSOs in a context of competition for state funding. University-based activists, who are also reliant on (increasingly scarce) government funding, face similar challenges, and therefore should pay more attention to debates regarding state funding in the CSO sphere. By working together to overcome common challenges associated with state funding, activists in both spheres can more effectively contribute to progressive social change.
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How this classification was reachedexpand
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".