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Record W4220948403 · doi:10.1061/9780784483985.070

Scale Equivalence in Canada and the United States for Interpersonal Conflicts at Work and Individual Resilience in the Construction Sector

2022· article· en· W4220948403 on OpenAlex
Yuting Chen, Brenda McCabe, Jun Wang, Douglas Hyatt

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

VenueConstruction Research Congress 2022 · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsHudbay Minerals (Canada)University of Toronto
Fundersnot available
KeywordsScale (ratio)Interpersonal communicationEquivalence (formal languages)Resilience (materials science)Work (physics)Psychological resilienceSocial psychologyPsychologyGeographyEngineeringMathematicsDiscrete mathematicsCartography

Abstract

fetched live from OpenAlex

Interpersonal conflicts at work (ICW) and individual resilience (IR) that describes a person’s positive psychological capacity for performance improvement have the potential to affect construction safety performance. However, few research has been conducted to investigate these two factors on construction sites, e.g., how often ICW occurs on construction sites and whether the occurrence frequency is distributed similarly across countries. It is also necessary to examine whether workers from different countries interpret ICW and IR conceptually similar, which is a precondition for any comparison. By surveying 420 US construction workers and 837 Canadian construction workers, this study conducted measurement equivalence tests and compared the frequency of ICW on the surveyed construction sites. The results show that US and Canadian construction workers interpreted ICW and IR conceptually similar, although with different demographic background. In addition, US respondents reported fewer conflicts with their supervisors, which may be related to the slightly higher age, lower participation in safety committees, and fewer supervisors on site.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.116
GPT teacher head0.433
Teacher spread0.318 · 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