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Record W2528565748

Supporting Visible Minority and Indigenous Students in a Postsecondary Education Setting: Addressing their Academic Aspirations, Challenges, and Barriers

2016· article· en· W2528565748 on OpenAlexaboutno aff
Janki Shankar, Khalema Ne, Rosslynn Zulla, Ali A.

Bibliographic record

VenueResearch & Reviews: Journal of Educational Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPostsecondary educationIndigenousImmigrationQualitative researchMulticulturalismPedagogyHigher educationSociologyPolitical scienceEconomic growthMedical educationSocial scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Canada ranks high among the Organization for Economic Cooperation and Development (OECD) countries in terms of advanced education with 66 percent of Canadians having completed some form of postsecondary education. However, students from low income indigenous and immigrant backgrounds are under-represented at postsecondary levels. The current study used a qualitative approach to examine the experiences, challenges and barriers faced by these learners who were enrolled in a postsecondary human services program in Western Canada. Findings suggest that despite 40 years of a multicultural approach to education these students continue to experience several barriers to continuing their study programs. The need for radicalizing teaching by using alternate critical decolonizing discourses and pedagogy is discussed.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.151
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0010.002
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 head0.308
GPT teacher head0.542
Teacher spread0.234 · 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
Published2016
Admission routes1
Has abstractyes

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