MétaCan
Menu
Back to cohort
Record W7116219572

Exploring Fairness and Opportunity in the Admissions Process of Canadian Dental Schools

2025· article· en· W7116219572 on OpenAlexaffabout

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsUniversity of SaskatchewanSaskatchewan HealthSaskatchewan Health Authority
Fundersnot available
KeywordsEquity (law)WorkforceUnderrepresented MinorityPrioritizationDiversity (politics)Process (computing)Face (sociological concept)Personnel selectionAdaptation (eye)
DOInot available

Abstract

fetched live from OpenAlex

Decades of evidence have demonstrated a lack of workforce diversity and sustaining disparities in dentistry. Underrepresented minority students may face challenges and implicit bias during the den-tal schools’ admission/selection process – which perpetuates the disparities. This dissertation want-ed to explore the fairness and opportunities for people who have been prevented from studying dentistry – more specifically, the link between Equity-Diversity-Inclusion (EDI) and the admission practices in dental schools. The literature has shown a growth in publications on equity measures during dental admission/selection processes, indicating a positive movement in this field. The ef-forts performed by dental schools to increase the representation of minorities in the profession have been made and become more internationalized and multifaceted recently. Some strategies to address both access and retention challenges included: prioritization of holistic approaches (during selection of candidates) and implementation of recruitment programs (which combine mentoring opportuni-ties and skills-based activities). Nevertheless, while these initiatives have demonstrated progress toward a more equitable dental workforce, sustained commitment and adaptation of strategies are essential to ensure lasting and meaningful change. The second and third parts of this dissertation focused on Canadian institutions’ admissions practices. Through a document analysis of dental schools’ websites (visual and written information), I noticed that the concept of EDI is connected to the admission process by showing prospective students that the university environment is welcom-ing, globalized, and that diverse students are embraced by the institution. But the websites’ commu-nication had several problems, including the poor choice of words and the lack of an equity defini-tion and equity information. At last, through semi-structured interviews, I interviewed the inter-viewers of the admission processes. Ten individuals who had acted as interviewers in dental schools’ admissions were vocal about the strengths and weaknesses in the process. Predominantly, participants criticized what they consider a defective process. The participants’ experiences revealed a tension between objectivity and holistic evaluation. This dissertation suggests adopting positive and alternative strategies, such as integrating equity-focused strategies for people involved in the admission process. These efforts require a combination of human, financial, and strategic resources.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.044
GPT teacher head0.237
Teacher spread0.193 · 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 designQualitative
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
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueUniversity Library (University of Saskatchewan)Same topicMedical Education and AdmissionsFrench-language works237,207