Bibliographic record
Abstract
This keynote address explores the interplay between three forces that will shape the next few years of social economy practice and research. The first is variety, both with respect to existing and emergent social need, and with respect to the multiplicity of organizational forms adopted by social economy actors. The second concerns the forms of knowledge, ranging from instrumental knowledge to reflection and critique, which inform practices in the sector. Knowledge production is itself both enabled and constrained by the third force, professionalism, or the ways we structure the socialization and employment of those working in the sector. With variation an inherent characteristic of the social economy and with the ongoing search for appropriate models of professionalism, our collective knowledge production tasks remain unfinished.Ce discours principal explore les interactions entre trois forces qui vont façonner la pratique et la recherche en économie sociale au cours des prochaines années. La première est la variété, tant par rapport aux besoins sociaux actuels et naissants qu’à la multiplicité de formes organisationnelles adoptées par les acteurs de l’économie sociale. La seconde concerne les types de savoir informant les pratiques dans le secteur, du savoir instrumental jusqu’à la réflexion et la critique. La troisième force, le professionnalisme ou la manière dont on organise le recrutement et la socialisation de ceux et celles qui oeuvrent dans le secteur, permet la production du savoir tout en y imposant certaines contraintes. La variation étant une caractéristique intrinsèque de l’économie sociale, et la quête de modèles de professionnalisme appropriés se perpétuant, il est clair que nos tâches collectives de production du savoir demeurent inachevées.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.046 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".