Deliberation for Reconciliation in Divided Societies
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
Engaging with the literature on deliberative democracy, this article contends that in the context of ethnic group hostilities, deliberative processes where participants have a genuine opportunity to communicate and ‘hear the other side’ can be a way for inter-group dialogue and reconciliation. Separating the deliberative process into three distinct moments, it offers a framework for understanding how unequal and conflicting parties may be brought together to deliberate, how to grasp the micro-politics of deliberation, and to understand the diffusion mechanisms that bring society back in. The approach we propose aims to bridge the normative-macro and the experimental-micro accounts of deliberation in order to focus on non-ideal real-life contexts and to offer ‘deliberative lenses’ to study the (rare) cases of deliberative inter-ethnic reconciliation. The approach and the three moments are illustrated by the deliberative turn taken to resolve a conflict between the Innu communities, the Quebec government and the local non-Innu in Saguenay-Lac-Saint Jean.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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