Karl Polanyi and the Global Network Inspired by His Work
Bibliographic record
Abstract
Marguerite Mendell is the Director of the Karl Polanyi Institute of Political Economy Montreal. Many awards show the extraordinary relevance of her work: Member, Order of Canada; Officer, Order of Québec; laureate Prix Québec, Marie-Andrée Bertrand and Prix ACFAS, Pierre Dansereaux. She is one of the most prominent protagonists of research and discussions about the problems of “our time” (Polanyi) referring to Karl Polanyi’s work. Furthermore, it has been not the least her engagement in building up the Karl Polanyi archive which enables us to get insights in his work and biography. For so many institutions and persons Marguerite Mendell is the first address to get in touch with the worldwide Karl Polanyi community, a pluralistic, open minded network giving space for many initiatives of established and young scholars and people from civil society interested in developing perspectives for a better world by putting economy in its place instead of the market driven “demolition of society” (Polanyi). Besides Marguerite Mendell’s work on the legacy of Karl Polanyi and in the global Polanyi community, her own research agenda is not less impressive in the field of the social and solidarity economy. On the occasion of the foundation of the International Karl Polanyi Society Vienna on 8 May 2018 we invited her to give this interview which allows us to get a lot of insights in her impressive work.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".