Supply chain integration under chaotic conditions: not-for-profit food distribution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article describes and discusses unique supply chain integration challenges faced by not-for-profit (NFP) organisations, as opposed to for-profit businesses. In addition, the article covers possible transfer of ‘best-practices’ from business logistics/supply chain management (SCM) to the NFP sector. Using mostly qualitative methods, the study focuses on Winnipeg Harvest, a NFP organisation that provides food to people struggling to feed themselves and their families. Unlike businesses, NFP organisations rely on volunteer labour and they target social (rather than economic) objectives. They also work with and serve a wider range of stakeholders compared to the for-profit sector. This article is among very few to focus on unique supply chain/logistics challenges of the NFP sector. Its value is in inspiring additional research in NFP logistics. Furthermore, and more importantly, it might help NFP organisations serve more people in need – and serve them better.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it