Public sector purchasers as curators and value creators in the food system.
Bibliographic record
Abstract
The 3P Mentorship Program is a community of practice that \nconvenes institutional food buyers around a shared vision to use \nthe $750 million purchasing power of the Ontario public sector \nto foster resilient local food systems. Five design principles \nemerged from the program, which ran as a pilot in 2014-2015 \nwith a cohort of four institutional mentees: a hospital, \nuniversity, college, and long term care home, each represented \nby a manager influencing the institutions’ procurement. System \nmapping and informal interviews revealed that the point of \npurchase was a high leverage, low friction point of intervention \nwhere procurement mechanisms, such as the RFP, make \ninstitutions passive consumers of value from the food system. A \nchallenge emerged to design a minimally disruptive intervention \nthat would enable managers to re-claim these mechanisms and \nto re-imagine their institutions as creators of value, in a position \nto curate the “reconfiguration of roles and relationships among \n[the] constellation of actors” for a more resilient food system \n(Normann and Ramirez, 1993). The pilot generated evidence of \nthe ability of networked institutions to collaborate on a shared \nvision to increase the social good generated through \npurchasing, and to play a transformative role in food systems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 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".