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Record W3160206023 · doi:10.31234/osf.io/3c6zm

Lay Theories of Obsessive Passion and Performance: It All Depends on the Bottom Line

2019· preprint· en· W3160206023 on OpenAlexaff
Benjamin J. I. Schellenberg, Patrick Gaudreau, Daniel S. Bailis

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicWorkaholism, burnout, and well-being
Canadian institutionsUniversity of OttawaUniversity of Manitoba
Fundersnot available
KeywordsPassionProductivitySocial psychologyWork (physics)Value (mathematics)PsychologyEngineeringComputer scienceMechanical engineeringEconomics

Abstract

fetched live from OpenAlex

Obsessive passion predicts many different types of maladaptive intra- and inter-personal outcomes (Vallerand, 2015). Our aim in this research was to explore one potential force that might promote or sustain obsessive passion in the workplace: lay beliefs about the relationship between obsessive passion and work success. We hypothesized that people hold the lay belief that obsessive passion is ideal for achieving success in workplaces that focus on singular objectives (e.g., productivity) at the expense of competing goals (e.g., well-being) – that is, those work environments characterized by bottom-line mentalities (e.g., Greenbaum, Mawritz, & Eissa, 2012). In three studies we assessed lay beliefs about passion from different perspectives, including perceptions of others (Study 1, n = 138), the way people presented themselves and believed others should present themselves (Study 2, n = 355), and estimates of one’s own success in different workplace environments (Study 3, n = 418). In support of our hypothesis, participants believed that, in workplaces characterized by bottom-line mentalities, they and others would be more likely to achieve success with high levels of obsessive passion. This means that lay beliefs about passion may be a force that promotes and sustains obsessive passion in workplaces focused exclusively on bottom line outcomes. This finding has implications for the decisions that are made by both employers and employees, and reveals a process that could contribute to the value that workplaces put on being obsessed toward the job.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.314
Teacher spread0.285 · 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 designTheoretical or conceptual
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

Citations1
Published2019
Admission routes1
Has abstractyes

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