François Dépelteau and the generation of a relational intellectual community
Bibliographic record
Abstract
François Dépelteau is a major figure in the contemporary rise of relational scholarship. His untimely passing casts a shadow over the relational research community, particularly those with close ties to the Canadian sociological association research cluster. This paper seeks to honour the contribution and legacy of François through a relational analysis of a relational research community. Mobilising Eacott’s relational approach, this paper turns relational scholarship upon itself to argue that the relational research community is organised around two fundamental questions – the explanatory and the empirical. François was not only embedded in, but embodied, this relationality. His approach to scholarship serves as an invitation, an invitation to think with, through and where necessary against relations in the pursuit of offering generative insights. François generated the conditions for many previously disparate researchers to come together and the challenge has now shifted to us – the relational research community – to honour him and continue this research agenda.
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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 | 0.019 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.070 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".