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Record W4408924013 · doi:10.1007/s43621-025-01021-2

Being the “Better” student: intentions to reduce food waste

2025· article· en· W4408924013 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

VenueDiscover Sustainability · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsCégep de ChicoutimiUniversité du Québec à Chicoutimi
FundersUniversität Kassel
KeywordsFood wastePsychologyBusinessFood scienceEnvironmental scienceWaste managementEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract This study identifies factors that influence the behavioral intentions of German university students to reduce food waste, particularly the moderating role of environmental consciousness. Data were collected through a survey of 368 university students in Germany. The findings show that individual attitudes, environmental knowledge, and awareness of consequences affect students’ behavioral intentions to reduce food waste. In addition, the study introduces as a key moderating factor the concept of environmental consciousness, which strengthens the positive associations between individual attitude, environmental knowledge, and behavioral intention to reduce food waste. The moderating role of environmental consciousness in the relationship between awareness of consequences and behavioral intention is not significant, however. This research uniquely examines the factors promoting food waste reduction among university students in Germany, a group underexplored in current studies. Its insights can inform targeted interventions and enhance the understanding of sustainable behaviors in younger demographics.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.273
Teacher spread0.263 · 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