MétaCan
Menu
Back to cohort
Record W2023548979 · doi:10.1207/s15327663jcp1601_6

Malleable Mental Accounting: The Effect of Flexibility on the Justification of Attractive Spending and Consumption Decisions

2006· article· en· W2023548979 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 · 2006
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsUniversity of Toronto
FundersUniversity of Colorado Boulder
KeywordsMental accountingFlexibility (engineering)AmbiguityConsumption (sociology)Control (management)Construct (python library)Process (computing)EconomicsActuarial scienceMicroeconomicsAccountingPsychologyComputer science

Abstract

fetched live from OpenAlex

Mental accounts are often characterized as self‐control devices that consumers employ to prevent excess spending and consumption. However, under certain conditions of ambiguity, the mental accounting process is malleable; that is, consumers have flexibility in assigning expenses to different mental accounts. We demonstrate how consumers flexibly classify expenses, or construct accounts, to justify spending. An expense that can be assigned to more than one account (i.e., an ambiguous expense) is more likely to be incurred than an unambiguous expense that is constrained either by existing budgets or by previously constructed accounts. We explore the justification processes that underlie these results and their implications for mental accounts as self‐control devices.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
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 science0.0010.000
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 head0.199
GPT teacher head0.464
Teacher spread0.264 · 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