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Record W2178426372 · doi:10.1509/jppm.14.095

What a Waste! Exploring the Human Reality of Food Waste from the Store Manager's Perspective

2015· article· en· W2178426372 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Public Policy & Marketing · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsFood wasteBusinessPerspective (graphical)MarketingSupply chainEngineeringWaste management

Abstract

fetched live from OpenAlex

Food waste is a major problem in industrialized nations, and thus a better understanding of this phenomenon and its inherent complexity is imperative. As gatekeeper to the food supply chain, the retail and wholesale sector is a crucial actor in the pursuit of minimizing food waste. The authors draw on the perspective of marketing as exchange to provide a holistic exploration of food waste in retail and wholesale stores while taking into account the interconnectedness of the entire food supply chain. Through 32 semistructured interviews with store managers, the authors shed light on the issues of food waste and its human reality. The findings reveal the questionable ethics of discarding food; the societal, regulatory, and systemic constraints leading to the occurrence of food waste in stores; and the resulting moral burden on store managers. Building on these factors, the authors outline public policy recommendations in the areas of education and law and provide managerial recommendations for the better management of food waste.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.124
GPT teacher head0.305
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it