Bibliographic record
Abstract
The chapter elaborates on the strategic role of performance indicators in support of transformation to sustainable socio-ecological-economic systems. Given the purpose and identity of cooperatives, their impact on fair income distribution, promotion of economic democracy, and de-commodification of necessities and fictitious commodities (Polanyi, K. (Polanyi, K. (1944 [2001]). The Great Transformation. Farrar & Rinehart [Beacon Press]. [2001]). The Great Transformation. Farrar & Rinehart [Beacon Press].), we consider their contributions to the requisite radical imagination and the different institutional logic needed for a transformative change of the system. The intersection between the cooperative model and the Economy for the Common Good (ECG) approach to measures of performance is examined as an example of values-based indicators. The chapter points out the need to use context-based indicators with thresholds and allocations (McElroy, M. (McElroy, M. (2015). Science- vs. Context-Based Metrics – What’s the Difference? Sustainable Brands. https://sustainablebrands.com/read/new-metrics/science-vs-context-based-metrics-what-s-the-difference). Science- vs. Context-Based Metrics – What’s the Difference? Sustainable Brands. https://sustainablebrands.com/read/new-metrics/science-vs-context-based-metrics-what-s-the-difference ), in order to appropriately assess sustainability. It also proposes that cooperative goals and purpose can set the sustainability benchmarks for social indicators.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".