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Record W1970405828 · doi:10.1080/10926480701357661

On Acknowledging Thanks for Performing a Favor

2007· article· en· W1970405828 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

VenueMetaphor and Symbol · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsWestern University
Fundersnot available
KeywordsGratitudeLiteral (mathematical logic)PsychologyFunction (biology)Social psychologyCognitive psychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Two studies examined whether the acknowledgments given to an expressed thanks for performing a favor was merely phatic in nature, that is, does not convey information but just serves a social role in establishing and maintaining relationships. We were especially interested in a non-literal form of acknowledgment, responses such as “anytime,” which, if taken literally, invites unwanted intrusions into one's life. In the reported studies the cost of the favor was manipulated (in terms of effort, resources or time needed to perform the favor) and whether the gender of the person performing the favor was the same or opposite as that for whom the favor was done. Across the two studies, the non-literal acknowledgment was less likely to be employed for high-cost favors, was more likely to be recalled compared to other acknowledgments generated at the same base rate and was used differently by female and male participants. These data demonstrate that people moderate their thanks as a function of the cost of the favor and to whom they are speaking, results indicating that gratitude acknowledgments cannot be considered mere phatic communication. In a more general way, these data indicate the importance of considering social knowledge in nonliteral language usage.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.423

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 head0.046
GPT teacher head0.302
Teacher spread0.256 · 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