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Record W3108861017 · doi:10.1177/0033294120978162

This Place Is Full of It: Towards an Organizational Bullshit Perception Scale

2020· article· en· W3108861017 on OpenAlex
Caitlin Ferreira, David R. Hannah, Ian P. McCarthy, Leyland Pitt, Sarah Lord Ferguson

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

VenuePsychological Reports · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMisinformation and Its Impacts
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOperationalizationPsychologyPerceptionScale (ratio)Social psychologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This study evaluated the psychometric properties of the Organizational Bullshit Perception Scale (OBPS) using two samples of employees of organizations in various sectors. The scale is designed to gauge perceptions of the extent of organizational bullshit that exists in a workplace, where bullshit is operationalized as individuals within an organization making statements with no regard for the truth. Analyses revealed three factors of organizational bullshit, termed regard for truth, the boss and bullshit language. The three factors are consistent with existing literature in the field of organizational bullshit and offer further insight into how employees view workplace bullshit. The OBPS constitutes three subscales measuring these factors. Future researchers should seek to validate the OBPS and further develop the identified factors of organizational bullshit.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0450.000

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 head0.068
GPT teacher head0.379
Teacher spread0.311 · 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