Collaborative networks and non-profit art organizations : the case of Art City
Bibliographic record
Abstract
This major degree project studies the role of networks and their effect on determining the strength and sustainability of Non-profit Art Organizations (NPAO's).This practicum shows how Art City in Winnipeg demonstrates the extent to which partnering organizations share knowledge and experience, and support and influence the strength of NPAO's.My research explores the strength and sustainability NPAO's derive from their embedded networks.These networks can be very complex and may involve many intangible linkages.Non-profit networks have been defined as relational links through which people can obtain access to material resources, knowledge and power (Hillier 2000: 35).This study was the first stage in identifying that relationships existed, and were important to the operation of the organization.Leadership plays an important role in the creation and development of these networks.NPAO's need leaders, or champions, to enrich their organization and to align them with other organizations in a collaborative manner....
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".