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Record W4391665320 · doi:10.47678/cjhe.v53i1.189843

A Comparison of the Perceptions of Need Satisfaction and Need Frustration Between Racialized and Non-Racialized Undergraduate Students

2023· article· en· W4391665320 on OpenAlexafffundvenueabout
Rylee Oram, Rebecca Sullivan, Maria Rogers

Bibliographic record

VenueCanadian Journal of Higher Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsCarleton UniversityUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFrustrationPerceptionPsychologySocial psychologySociologyMathematics education

Abstract

fetched live from OpenAlex

Research has demonstrated that racialized students experience additional stressors during post-secondary education compared to their white counterparts. These barriers can include added institutional barriers, lower representation among faculty, additional stress associated with cultural differences and stigmatization, discrimination, and racism. According to self-determination theory, students who experience an unsupportive or controlling environment are more likely to have lower basic psychological need satisfaction, lower academic motivation, and lower well-being. The current study aimed to examine whether white and racialized students would differ in their perceptions of need satisfaction and need frustration in their learning environment. Participants were undergraduate students (N = 712) from a large Canadian university. A one-way MANCOVA was performed comparing racialized and white students on basic psychological need satisfaction and frustration with gender as a covariate. Results suggested that racialized students perceived lower autonomy satisfaction, lower competence satisfaction, and higher relatedness frustration in their learning environment. These findings present important implications for higher education institutions. Institutions should recognize the diverse needs of their student population and ensure that learning environments are supportive of these needs, as they can have significant detrimental impacts on the overall well-being and academic success of these students.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.046
GPT teacher head0.447
Teacher spread0.401 · 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
Published2023
Admission routes4
Has abstractyes

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