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Construal Level in Organizational Research

2021· article· en· W4214697767 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademy of Management Proceedings · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsMcGill University
Fundersnot available
KeywordsConstrual level theoryConstrualsPsychologySocial psychologySociology

Abstract

fetched live from OpenAlex

Every day people encounter situations at work with varying demands. How do people navigate changing demands across different situations? Construal level theory argues that people use abstract construals to address distant demands and concrete construals to respond to immediate demands. Decades of psychology research have shown the value of construal level theory in explaining and predicting people’s attitudes and behaviors. More recent research has applied construal level to studying organizational-relevant phenomena. This symposium presents five lines of research that use diverse methodologies and samples to explore the antecedents and consequences of communication abstraction and cognitive construal, including gender, audience engagement, performance, and information processing and trust in groups. This symposium aims to provide an opportunity for knowledge sharing and discussion among researchers who are interested in construal level in organizational research. Gender and Emoji Usage Presenter: Gil Appel; George Washington U. Presenter: Cheryl Wakslak; U. of Southern California Presenter: Elinor Amit; Tel Aviv U. Inviting People In: Does Abstract Language Increase Engagement with Ideas? Presenter: Jean-Nicolas Reyt; McGill U. Presenter: Patricia Staats; Kenan-Flagler Business School, U. of North Carolina at Chapel Hill Presenter: Naomi Beth Rothman; Lehigh U. Construal of Everyday Tasks Presenter: Yidan Yin; U. of California, San Diego Presenter: Pamela K. Smith; U. of California, San Diego Presenter: Batia Mishan Wiesenfeld; New York U. Developing Measures for Abstract Construal and Concrete Construal Presenter: Robert Barrett; U. of Iowa Presenter: Yidan Yin; U. of California, San Diego Presenter: Michele Williams; U. of Iowa Presenter: Batia Mishan Wiesenfeld; New York U. Preventing Groupthink through a Concrete Construal Intervention Presenter: Ashli Carter; NYU Stern School of Business

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 categoriesInsufficient payload (model declined to judge)
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 score0.728
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
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.001
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 head0.093
GPT teacher head0.308
Teacher spread0.215 · 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