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Record W4402381170 · doi:10.1002/cdq.12364

Antecedents of mentors’ interpersonal behaviors at work: A cross‐sectional study

2024· article· en· W4402381170 on OpenAlexaff
Najat Firzly, Jean‐Christophe Goulet‐Pelletier, Luc G. Pelletier, Martine Lagacé

Bibliographic record

VenueThe Career Development Quarterly · 2024
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCross-sectional studyPsychologyWork (physics)Interpersonal communicationSocial psychologyMedicineEngineering

Abstract

fetched live from OpenAlex

Abstract Building on the self‐determination theory and the work of Pelletier and their colleagues, we conducted a study to examine the antecedents of mentors’ interpersonal behaviors. The purpose of this study was to determine how influence from above (administrative, practice, and colleagues’ pressures) and influence from below (perception of mentees’ level of self‐determined motivation) were related to the mentors’ motivations for their work and the mentoring relationship, and how the mentors’ motivations were related to their interpersonal behaviors. In the present study (N = 600), the results of a cross‐sectional design showed that mentors who perceived greater influence from above and lower influence from below were more non‐self‐determined toward their work and the mentoring relationship. In turn, the more non‐self‐determined they were, the more they were acting in a controlling manner with their mentees. Overall, our findings supported the independent and complementary role of influences from above and from below on mentors’ motivations and interpersonal behaviors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.049
GPT teacher head0.341
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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