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Record W2586746774 · doi:10.47678/cjhe.v46i4.186173

A Faculty-Based Mentorship Circle: Positioning New Faculty for Success

2017· article· en· W2586746774 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Higher Education · 2017
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMentorshipFaculty developmentMedical educationPosition (finance)Organizational culturePsychologySociologyManagementMedicinePublic relationsProfessional developmentPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Multiple and competing priorities within a dynamic and changing academic environment can pose significant challenges for new faculty. Mentorship has been identified as an important strategy to help socialize new faculty to their roles and the expectations of the academic environment. It also helps them learn new skills that will position them to be successful in their academic career. In this article, the authors report on the implementation and evaluation of a mentorship circle initiative aimed at supporting new faculty in the first two years of their academic appointment. Participants reported that the mentorship circle provided them with a culture of support, a sense of belonging, and a safe space to discuss concerns and learn strategies from both mentors and fellow mentees as they adjusted to their new position. The interdisciplinary nature of the mentorship circle further facilitated faculty members’ capacity to navigate their role as new faculty and foster colleagueship.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.252
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.082
GPT teacher head0.403
Teacher spread0.321 · 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