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Record W2122126451 · doi:10.1177/0956797614530571

Spatial Orientation Shrinks and Expands Psychological Distance

2014· article· en· W2122126451 on OpenAlexaff
Sam J. Maglio, Evan Polman

Bibliographic record

VenuePsychological Science · 2014
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsClosenessPsychologyOrientation (vector space)Similarity (geometry)Social psychologySocial distanceSpace (punctuation)Distance decayCognitive psychologyGeometryGeographyImage (mathematics)Artificial intelligenceEconomic geographyComputer scienceMathematics

Abstract

fetched live from OpenAlex

Being objectively close to or far from a place changes how people perceive the location of that place in a subjective, psychological sense. In the six studies reported here, we investigated whether people's spatial orientation (defined as moving toward or away from a place) will produce similar effects-by specifically influencing psychological closeness in each of its forms (i.e., spatial, temporal, probabilistic, and social distance). Orientation influenced subjective spatial distance at various levels of objective distance (Study 1), regardless of the direction people were facing (Study 2). In addition, when spatially oriented toward, rather than away from, a particular place, participants felt that events there had occurred more recently (Studies 3a and 3b) and that events there would be more likely to occur (Study 4). Finally, participants felt more similarity to people who were spatially oriented toward them than to people who were spatially oriented away from them (Study 5). Our investigation broadens the study of psychological distance from static spatial locations to dynamically moving points in space.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.474
Teacher spread0.395 · 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 teacher head, not a consensus.

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

Citations29
Published2014
Admission routes1
Has abstractyes

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