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Record W2156209816 · doi:10.1509/jmr.12.0067

Seeing the Big Picture: The Effect of Height on the Level of Construal

2014· article· en· W2156209816 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

VenueJournal of Marketing Research · 2014
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConstrual level theoryPerceptionPsychologyCognitionAffect (linguistics)Social psychologyCognitive psychologyMental representationCommunication

Abstract

fetched live from OpenAlex

Drawing on research on grounded cognition and metaphorical representation, the authors propose and confirm in five studies that physical height, or even the mere concept of height, can affect the perceptual and conceptual levels of mental construal. As such, consumers who perceive themselves to be physically “high” or elevated are more likely to adopt a global perceptual processing and higher level of conceptual construal, whereas those who perceive themselves to be physically “low” are more likely to adopt a local perceptual processing and lower level of conceptual construal. This difference in construal level also affects product choices that involve trade-offs between long-term benefits and short-term effort. The authors address alternative accounts such as vertical distance, visual distance, and perceived power. By highlighting the novel relationship between height and construal level, these findings contribute to research on grounded cognition and construal-level theory while also providing practical suggestions to marketing managers across a variety of domains.

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)0.033
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.006
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 science0.0010.000
Research integrity0.0000.001
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 head0.304
GPT teacher head0.457
Teacher spread0.153 · 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