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Record W2912794133 · doi:10.1016/j.jcps.2013.03.002

Evolutionary consumption

2013· article· en· W2912794133 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 Consumer Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsConcordia University
Fundersnot available
KeywordsEvolutionary psychologyConsilienceDarwinismPsychologyReciprocal altruismAltruism (biology)EpistemologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract An overview of the field of evolutionary consumption is provided. Brief summaries of disciplines within the evolutionary behavioral sciences that preceded evolutionary psychology (EP) are first offered. This is followed by a discussion of important EP principles including the domain‐specificity of the human mind, and the difference between ultimate and proximate scientific explanations. The evolutionary bases of memory, attitude formation/change, emotions, perception (our five senses), personality, and decision making are addressed next, along with specific links to consumer research. Next, I demonstrate how numerous consumer acts could be classified into one of four basal Darwinian modules: survival, reproduction (mating), kin selection, and reciprocal altruism. The paper continues with an exploration of the evolutionary roots of cultural products (e.g., song lyrics) and Darwinian happiness (along with the evolutionary etiology of maladaptive phenomena such as pathological gambling and compulsive buying). I conclude with a discussion of key epistemological benefits of Darwinizing consumer research including greater consilience, increased interdisciplinarity, and an ethos of methodological pluralism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0540.012

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 head0.052
GPT teacher head0.378
Teacher spread0.326 · 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