“Irrational” Organizations: Why Community-Based Organizations Are Really Social Movements
Bibliographic record
Abstract
This paper was prepared for the Planners Network Conference 2000 in Toronto. The focus of the paper is a re-conceptualization of community-based organizations from a model of a classic nonprofit institution to that of a social movement. Our observations are based on intensive evaluation of about 40 community-based arts organizations in Philadelphia involved in the Culture Builds Community initiative (1997-2001) of the William Penn Foundation. We argue that these small organizations have been colonized by business school consultants who want them to act and look like more established nonprofits. In our view, these organizations are better conceptualized as 'social movements' rather than—potentially—rational organizations. Changing the conceptual framework in this manner changes the definition of terms like 'capacity-building' and 'sustainability.' In addition, it shifts the 'unit of analysis' from individual organizations to the social networks in which they operate.
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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 | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.069 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".