Drawing Partners Together: A Report on the Practice of Responding to Partnership Requests for Community and University Arts Collaboration
Bibliographic record
Abstract
NSCAD University is a visual arts university in Halifax, Nova Scotia, Canada, that houses the NSCAD-TD Centre for Community Service Learning (the Centre). The Centre’s purpose is to manage and promote community part- nership requests with the institution.While community service learning and community– university partnership approaches necessarily inform the Centre’s operation, these need to be modified to reflect NSCAD’s unique position in art and design education. Each partnership request is assigned to one of three partner- ship categories, based on distinct criteria that account for NSCAD’s mission, the duration of the partnership, the level of NSCAD involve- ment, and the support capacity of the Centre.Using these criteria, partnerships are addressed in a consistent, sustainable manner that main- tains collaboration and affords room to grow more sophisticated partnership arrangements. The Centre allows prospective partners to access NSCAD’s extraordinary creativity and skilled artists, leading to receptive partnerships that benefit a range of communities.
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 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 | 0.103 | 0.191 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.007 | 0.030 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".