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Record W2584994463 · doi:10.1177/0276146717696892

Complementing the Dominant Social Paradigm with Sustainability

2017· article· en· W2584994463 on OpenAlexaff
Johanna Gollnhofer, John W. Schouten

Bibliographic record

VenueJournal of Macromarketing · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsComplementarity (molecular biology)SustainabilityContext (archaeology)BusinessMarketingIndustrial organizationEconomicsEcology

Abstract

fetched live from OpenAlex

The dominant social paradigm (DSP) defines the basic belief structures and practices of marketplace actors and is manifested in existing exchange structures. Sustainability – a so-called megatrend – challenges the DSP by questioning its underlying assumptions, resulting in tensions or conflicts for different marketplace actors. This study examines a specific case of an alternative market arrangement that bridges tensions between the DSP and environmental concerns. Ethnography in the context of retail food waste disposition reveals tensions experienced by several marketplace actors – namely consumers, retail firms and regulators – and investigates an alternative market arrangement that alleviates those tensions by connecting the actors and their practices in a creative new way. We identify complementarity as the underlying mechanism of connection and resolution. Compared to previously identified alternative market arrangements that are either oppositional or parallel to the DSP, complementarity opens another path toward greater environmental sustainability through market-level solutions.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0070.060
Scholarly communication0.0100.013
Open science0.0010.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.267
Teacher spread0.248 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations38
Published2017
Admission routes1
Has abstractyes

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