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Record W1997306878 · doi:10.1002/oca.877

A dynamic game of status‐seeking with public capital and an exhaustible resource

2009· article· en· W1997306878 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

VenueOptimal Control Applications and Methods · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsNash equilibriumEconomicsMicroeconomicsConsumption (sociology)Differential gameResource (disambiguation)Markov chainMarkov perfect equilibriumMathematical economicsCommon-pool resourceConsciousnessOutcome (game theory)Stock (firearms)EconometricsComputer scienceMathematicsMathematical optimizationPsychologyStatisticsSociology

Abstract

fetched live from OpenAlex

Abstract This paper explores the link between status‐seeking and the exploitation of a common property exhaustible resource. The extracted resource is an input in the production of a final good. The other input is man‐made capital, which is a second state variable. Extraction requires efforts. Economic agents derive utility not only from absolute consumption, but also from relative consumption, because the latter is a signal of relative status. We consider a differential game involving n infinitely lived agents. We compare the Markov‐perfect Nash equilibrium of this game with the outcome under cooperation. We find that the degree of status‐consciousness has important impact on the Markov‐perfect Nash equilibrium. A higher degree of status‐consciousness leads to greater excessive consumption, and lower capital accumulation. If extraction is costless, status‐consciousness has no impact on the extraction/resource‐stock ratio. However, with costly extraction, higher status‐consciousness reduces this ratio. Copyright © 2009 John Wiley & Sons, Ltd.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.335

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)0.0000.000

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 head0.023
GPT teacher head0.393
Teacher spread0.370 · 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