Bibliographic record
Abstract
Within the walls of this two-story storefront, a distinct alternative practice of radical politics and life is taking place. In fact, what would appear to be an extension of the Kurdish social movement, as it is understood, is being practiced against a backdrop of the refugee experience within the metropolitan city limits of Toronto. This practice of what is arguably feminist anarchism has become known in the recent years by the title “Democratic Confederalism” (Öcalan 2011). Democratic Confederalism in its feminist anarchist framework reflects our understanding of what is known within the Marxist tradition today as “the commons” (Federici & Linebaugh 2018). This paper seeks to show that the Kurdish Community Centre has, over nearly three decades, established for its members within Toronto a space that attempts to practice a radical feminist politics mirroring our understanding of “the commons”. However, similar to the dilemma of most leftist social movements, struggles with the divide between theory and praxis across space and time mark the centre’s main concerns. Exclusive to the diasporic experince, the Kurdish refugees are faced with trying to navigate their anti-state Kurdish revolutionary struggle within a nation that has provided them refuge. This paper will explore what is understood as “komal” (community) and how have these community centres come to represent the Kurdish social movement in diaspora spaces through refugee lived experiences—particularly the Kurdish woman’s.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".