Humanitarian and Disaster Relief Supply Chains: A Matter of Life and Death
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
With an increasing number of disasters disrupting commerce and community life around the world, it is timely to position humanitarian and disaster relief supply chains ( HDRSC ) within the broad field of supply chain management. This article presents a framework to that end. It distinguishes attributes of the environment that illustrate the difficulties encountered in supply chain management. Although considerable research has been conducted in logistics issues affecting HDRSC s, very little management research speaks to the complicating attributes. Thus, this article describes activities such as demand determination, supply chain coordination, recognizing when to move along the life cycle and post‐disaster reconstruction that differentiates supply chain concerns from logistics concerns. From this backdrop, some of the areas where research into HDRSC s can inform supply chain management in general are presented. The article concludes by discussing critical areas of research need as identified by experienced practitioners. Research in these areas will provide insights for supply chain managers facing similar issues in other environments.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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