Constituency Pressures on Committee Selection: Evidence from the Northern Ireland Assembly and Dáil Éireann
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
Most previous research examining selection to committees assumes constituency pressures—leading representatives to seek committee assignments dealing with their constituents’ particularistic interests that improve their re-election prospects—are incompatible with disciplined parties, which may prevent such personal vote-seeking behaviour in order to preserve the party’s brand. In contrast, we argue parties will support committee assignments promoting members’ re-election chances because parties benefit from their members’ re-election. Analysing two legislatures with highly disciplined parties and electoral systems encouraging personal vote-seeking—the Northern Ireland Assembly and Dáil Éireann—our analysis suggests constituency pressures increase the chances of selection to committees enhancing members’ re-election prospects.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| 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 it