MétaCan
Menu
Back to cohort
Record W4408907558 · doi:10.1037/cap0000417

Obstacles to diversification: Lived experiences of visible minority applicants and faculty members in psychology.

2025· article· en· W4408907558 on OpenAlexfundaboutno aff
Virginia M. C. Tze, J Li

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiversification (marketing strategy)PsychologySocial psychologyPedagogyBusinessMarketing

Abstract

fetched live from OpenAlex

The profession of psychology demonstrably lacks diversity, with inequitably low numbers of visible minorities represented in the field. Although equity, diversity, and inclusion as a social advocacy movement has received increasing attention within the profession and at the university level, changes are thus far too small to be noticeable. Little is known about the lived experiences of minority applicants applying to professional psychology graduate programs nor the experiences of faculty members involved in student selection processes. We interviewed eight unsuccessful minority applicants, and eight faculty members affiliated with Canadian professional training programs to identify obstacles in diversifying the profession. Thematic analysis of interview data revealed that obstacles were multifaceted, ranging from unsuccessful minority applicants reporting lack of support during the application process and feeling worried about the impact of their identities to faculty members expressing insufficient resources to provide mentorship experiences to minority undergraduate students. We discuss the practical implications of the obstacles identified in relation to how to dismantle those systemic barriers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.091
GPT teacher head0.448
Teacher spread0.357 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Psychology/Psychologie canadienneSame topicHigher Education Research StudiesFrench-language works237,207