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Record W4367180213 · doi:10.1177/19485506231163012

Picturing Your Life: The Role of Imagery Perspective in Personal Photos

2023· article· en· W4367180213 on OpenAlex
Zachary Adolph Niese, Lisa K. Libby, Richard P. Eibach

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

VenueSocial Psychological and Personality Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Waterloo
FundersNational Science Foundation
KeywordsPerspective (graphical)Meaning (existential)PsychologyPhotographyFunction (biology)Third personFirst personSocial psychologyCognitive psychologyAestheticsVisual artsArtPsychoanalysis

Abstract

fetched live from OpenAlex

When photographing moments in their lives, people can use a first-person (capturing the scene as they saw it) or third-person (capturing the scene with themselves in it) perspective. Past research suggests third-person (vs. first-person) images better depict the meaning (vs. physical experience) of events. The current work suggests the use and impact of perspective in personal photography follow this representational function. Across six studies ( N = 2,113), we find that the goal to capture meaning (vs. physical experience) causes people to be more likely to use third-person (vs. first-person) photos, that people are reminded more of the meaning (vs. physical experience) when viewing their own actual third-person (vs. first-person) photos, and that people like their photos better when the perspective matched (vs. mismatched) their goal for taking the photo. Discussion focuses on theoretical and practical implications of extending the representational function of imagery perspective to everyday uses of photographic imagery.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score1.000

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 studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.142
GPT teacher head0.386
Teacher spread0.244 · 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