Community‐based legislative representation and postcolonial ethnic civil warfare in former British and French colonies
Bibliographic record
Abstract
Abstract Recent research argued that the colonial policy of community‐based representation in the legislative assembly strongly increases the risk of postcolonial ethnic warfare in former British and French colonies. This paper delves deeper into the relationship by using an updated dataset that codes the receipt or non‐receipt of communal representation for nearly all ethnic groups in former British and French colonies. The results confirm the war‐inducing effect of this communalising colonial policy and additionally find that such an effect applies relatively uniformly to groups that benefited from this policy as well as those that were excluded from it. In addition, based on sociological theory and previous research, it was hypothesised that a combination of precolonial receipt of communal legislative representation and postcolonial political exclusion would make an ethnic group particularly prone to postcolonial ethnic warfare. This hypothesis, however, was not supported by the data. This null result has theoretical implications for our understanding of the conditions that give rise to conflict‐inducing psychological strain in the field of colonialism and ethnic warfare.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".