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Record W7025208108

USING APPRECIATIVE INQUIRY TO UNDERSTAND THE SUPPORT NEEDS OF INDIGENOUS STUDENTS AT THE UNIVERSITY OF SASKATCHEWAN

2024· dissertation· en· W7025208108 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousAppreciative inquiryPopulationIndigenizationRacismPrivilege (computing)Theme (computing)White privilege
DOInot available

Abstract

fetched live from OpenAlex

The University of Saskatchewan (USask) set enrolment goals for Indigenous students to make up 15% of the undergraduate and 10% of the graduate population by 2025. To continue USask’s decolonization and Indigenization efforts, the organization needs to know how to better support these students if the Indigenous student population is going to grow. In this dissertation I explored the unique challenges and barriers that Indigenous students may face at USask that hinder their ability to complete their studies. I described a sample of staff and Indigenous students’ experiences and lessons learned that outline what practices currently contribute to Indigenous student success at USask and what interventions are necessary to overcome continuing barriers to equitable outcomes for Indigenous students. I designed this case study guided by appreciative inquiry to understand the support needs of Indigenous students at USask. Instead of focusing on what is not working, I learned from four Indigenous students who are successfully completing their studies at USask and five staff members in supporting roles. In this study, the literature review themes included racism and resistance, decolonization and Indigenization, defining success, and my own journey acknowledging and understanding my White privilege and what role someone like me can play in Indigenous student success. The theme of defining success was present in both the literature review and participant interviews. This theme showed the need to adopt a holistic view of success for Indigenous students, understanding that success should be measured beyond colonial definitions and in ways that honor Indigenous perspectives and values. The themes from interviews also included the noticeable lack of Indigenous faculty and staff at USask and the need for safe spaces and a sense of community for Indigenous students. Lastly, the participants outlined the barriers and challenges they have faced and how they overcame them, noting that they felt that these were not well known or acknowledged by the institution. As USask aims to increase its Indigenous student population, barriers that prohibit many from successfully completing their studies need to be removed. The support systems available need to be accessible, equitable, and relevant to Indigenous students. While excellent support systems currently exist at USask, colonial policies and regulations continue to create obstacles that undermine the effectiveness of these supports.

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)0.013
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0190.017
Scholarly communication0.0090.006
Open science0.0020.010
Research integrity0.0020.005
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 head0.017
GPT teacher head0.205
Teacher spread0.187 · 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 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
Published2024
Admission routes1
Has abstractyes

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