Toward a Sociology of the Reconciliation of Conflicting Desires
Bibliographic record
Abstract
Desire-based research provides people and communities the opportunity to share their dreams and hopes for a better future. However, conflicting desires are difficult to reconcile. We suggest that sociological research to understand conflicting desires is required to support reconciliation work by Indigenous and non-Indigenous people in Canada. Our contribution begins by identifying much of current and past sociological research about Indigenous people and communities as damaged-centered, that is, identifying problems and obstacles in the hope that the knowledge will lead to change. This model of social change is flawed. We believe that most Canadians desire justice for Indigenous peoples while at the same time desiring land and access to resources, desires that deny that justice. How we as a society reconcile these desires will determine the extent to which true justice for Indigenous peoples will be achieved. We propose a sociology of the reconciliation of conflicting desires and suggest some practical ways that this type of research could move forward.
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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 | 0.022 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.019 | 0.172 |
| Scholarly communication | 0.019 | 0.016 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".