The solidarity economy alternative and movement: The experience of the United States Solidarity Economy Network (USSEN)
Bibliographic record
Abstract
The solidarity economy movement in the US is very recent. While use of this term as a framework for unifying the wide array of people-centred economic concepts and practices started in Canada in the mid- to late 1990s, it only became part of the US lexicon in the mid-2000s (Poirier and Kawano 2009: 145). The US solidarity economy movement took shape with the establishment of the United States Solidarity Economy Network (USSEN) at the First US Social Forum (USSF), held in Atlanta, Georgia, in June 2007. However, it builds on a broad range of pre-existent economic practices, institutions and policies representing alternatives to capitalist production (Allard 2008b). The environmental crisis and the recurring economic turmoil in recent decades have led to a rising interest in these alternatives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".