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African Canadian Students Identify Strategies for Success

2013· article· en· W2468276485 on OpenAlexaffabout
Maureen Finlayson

Bibliographic record

VenueInternational Journal for Cross-Disciplinary Subjects in Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsCape Breton University
Fundersnot available
KeywordsSuccess factorsPolitical scienceBusinessBusiness administration

Abstract

fetched live from OpenAlex

In today's educational systems, all students face obstacles and challenges. African Canadian students face unique challenges. This study investigates the perspectives of successful African Canadian students about their educational programs in Nova Scotia, Canada. The purpose of this study is twofold. The first objective is to examine the background and demographic characteristics, and socio-cultural experiences of ten African Canadian students in Nova Scotia. The second objective is to discuss the obstacles, challenges and strategies for success. The voices of these students provide insights into successful strategies for all students. The methodology included contacting ten African Canadian students at diverse levels in public education in Nova Scotia, to interview the participants by asking questions about their background, the obstacles and challenges which they have faced in education, and the strategies which have enabled them to be successful. Interviews are completed, and strategies for success have been analyzed. These data indicate that students have faced many challenges. Furthermore, these data indicate that facing the challenges have empowered the participants to devise strategies which have enabled them to be successful. Critical factors for their success include: family support; role modeling; caring educators; infusing African heritage into the curriculum; having someone believe in them, knowledge and pride in Black cultural and racial identity; and self-motivation. The author suggests that an improved understanding of the lived educational experiences of African Canadian students hold implications for all students and educators.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0010.000
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 head0.031
GPT teacher head0.493
Teacher spread0.462 · 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 designTheoretical or conceptual
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
Published2013
Admission routes2
Has abstractyes

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