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Record W3039781812 · doi:10.1525/collabra.252

Service Provider Salience: When Guilt Undermines Consumer Willingness to Buy Time

2020· article· en· W3039781812 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

VenueCollabra Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSalience (neuroscience)OutsourcingService providerHappinessSalientService (business)Psychological interventionBusinessPsychologyMarketingSocial psychology

Abstract

fetched live from OpenAlex

Spending money on time-saving services can improve happiness and reduce stress. Yet many people do not spend money to save time even when they can afford to do so, potentially because they feel guilty about paying other people to complete disliked tasks on their behalf. Consistent with this proposition, we find evidence that individuals are most likely to experience guilt when outsourcing to a salient service provider. Across two large-scale surveys of working adults, including a nationally representative sample of employed Americans (Study 1a & 1b, N = 1,337), individuals reported greater guilt when they thought about outsourcing to a salient (vs. non-salient) service provider. Using a novel lab paradigm, participants felt greater guilt when the service provider was salient, which in turn undermined their willingness to buy time (Study 2, N = 350). In Study 3, these effects were mitigated by emphasizing the benefits of task completion for the service provider (N = 390). This research points to the potential of simple interventions to help organizations encourage individuals to make time-saving purchases.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.021

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 head0.112
GPT teacher head0.425
Teacher spread0.313 · 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