The Ethnic Implications of Preferential Voting
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
Around the turn of the century, political developments in Northern Ireland, Fiji and Papua New Guinea encouraged claims that preferential voting systems could steer polities in the direction of ‘moderate’ multi-ethnic government. Sixteen years later, we have a longer time period and larger volume of data to reassess these verdicts. This article investigates ballot transfer and party vote–seat share patterns in the seven deeply divided polities with some experience of preferential voting for legislative elections or direct presidential elections (Northern Ireland, Fiji, Papua New Guinea, Estonia, Sri Lanka, Bosnia-Herzegovina and Southern Rhodesia). We find little support for centripetalist claims that such systems encourage ‘moderate’ parties. We argue that where district magnitude is low, where voters are required to rank preferences and where ticket voting prevails, departures from vote–seat proportionality may favour ‘moderate’ parties, but such heavily engineered systems may simply advantage the larger parties or yield erratic outcomes.
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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