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Record W2697407365 · doi:10.1037/pspi0000104

Functional intimacy: Needing—But not wanting—The touch of a stranger.

2017· article· en· W2697407365 on OpenAlexaff
Juliana Schroeder, Ayelet Fishbach, Chelsea Schein, Kurt Gray

Bibliographic record

VenueJournal of Personality and Social Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsBooth University College
Fundersnot available
KeywordsSocial distancePsychologyPsycINFOSocial psychologyDistancingNonverbal communicationPreferenceSocial relationFunctional analysisRomanceConstrual level theoryService providerDevelopmental psychologyService (business)MEDLINECoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Intimacy is often motivated by love, but sometimes it is merely functional. For example, disrobing and being touched at an airport security check serves the goal of catching a flight, not building a relationship. We propose that this functional intimacy induces discomfort, making people prefer greater social distance from their interaction partner. Supporting this prediction, participants who considered (Experiments 1 and 2) or experienced (Experiment 3) more physically intimate medical procedures preferred a health provider who is less social. Increased psychological intimacy also led people to prefer social distance from cleaning and health providers (Experiments 4-5), a preference revealed by nonverbal behavior (e.g., turning away and looking away, Experiments 6-7). These patterns of distancing are unique to functional (vs. romantic) intimacy (Experiment 7). Although creating social distance may be an effective strategy for coping with functional intimacy, it may have costs for service providers. (PsycINFO Database Record

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.456
Teacher spread0.344 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2017
Admission routes1
Has abstractyes

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