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Record W3202608752 · doi:10.26108/5610-8a52

Black listed: The barriers affecting African Nova Scotians and university enrollment

2014· article· en· W3202608752 on OpenAlexaboutno aff
Enoka Bainomugisha

Bibliographic record

VenueAcadiaU-DEV · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsNova (rocket)Political scienceNova scotiaHistoryEngineeringEthnology

Abstract

fetched live from OpenAlex

This study assesses the experiences African Nova-Scotian students face in their pursuit of post-secondary education through a case study of African Nova Scotians at Acadia University. Paul Willis' learning to labour theory, Patricia Hill-Collins' Black standpoint theory and bell hooks' theories on race and self-esteem, are used as complementary theoretical frameworks. By conducting four semi-structured interviews, I identified factors that enabled African Nova Scotians students to attend Acadia University. My research found that university attendance was strongly influenced by a parent or parental figure that attended university. The parental figure(s) emphasized the importance of education more than any teacher or their members of the communities from which they hailed. As well, athletics played a significant role in why some African Nova Scotians attended university as it provided added incentive to attend university - financial benefits through scholarships. To address the under-representations of African Nova Scotians in post-secondary education I recommend funding for African Nova Scotian community organizations who aid in African Nova Scotian social and academic support as well as the implementation of a transitional year programme.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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