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Record W2529428667 · doi:10.1002/jcpy.1035

A Self‐Regulatory Model of Resource Scarcity

2018· article· en· W2529428667 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 · 2018
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsConcordia University
Fundersnot available
KeywordsScarcityResource scarcityResource (disambiguation)Context (archaeology)Perspective (graphical)CommodityEconomicsPsychologyMicroeconomicsNatural resource economicsComputer science

Abstract

fetched live from OpenAlex

Academics have shown a growing interest in the effects of resource scarcity—a discrepancy between one's current resource levels and a higher, more desirable reference point. However, the existing literature lacks an overarching theory to explain the breadth of findings across different types of resources. To address this, we introduce a self‐regulatory model of resource scarcity. In it, we propose that consumers respond to resource scarcity through two distinct psychological pathways: a scarcity‐reduction route aimed at reducing the discrepancy in resources and a control‐restoration route aimed at reestablishing diminished personal control by attaining security in other domains. We explain how a key determinant of which route the consumer will pursue is the perceived mutability of the resource discrepancy. We also specify moderators, based on our proposed model, to identify when each of the two routes is pursued. This model is assessed in the context of alternative theoretical perspectives, including commodity theory, life history theory, and models of compensatory behavior. Finally, we provide a research agenda for those interested in studying the psychology of resource scarcity from a self‐regulatory perspective.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.435
Teacher spread0.342 · 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