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Record W3154368922 · doi:10.53967/cje-rce.v44i1.5025

A Call for Change in the Public Education System in Nova Scotia

2021· article· en· W3154368922 on OpenAlexaffvenueabout
Barbara Hamilton-Hinch, Jessie‐Lee D. McIsaac, Mary-Jane Harkins, Sherry Jarvis, John C. LeBlanc

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsMount Saint Vincent UniversityDalhousie University
Fundersnot available
KeywordsNova scotiaAfrican descentChristian ministryThematic analysisAfrican americanAcademic achievementFocus groupGender studiesSociologyPedagogyPsychologyQualitative researchPolitical scienceMedical educationSocial scienceEthnologyMedicine

Abstract

fetched live from OpenAlex

The United Nation’s International Decade for People of African Descent and Nova Scotia’s Ministry of African Nova Scotian Affairs recognize that students of African descent continue to experience inequities. As previous studies indicate, parents of Black learners identified that many educators lack knowledge and experience in understanding students of African descent.This study explored student achievement from the perspective of parents of children of African descent attending public schools in Nova Scotia. Participants included individual interviews and focus groups with parents from rural and urban areas. Based on Bronfenbrenner’s ecological theory framework, a thematic analysis of the data was conducted, a dominant storyline related to the families’ experiences in school and subsequent themes emerged: we are treated differently; we don’t feel connected; we know there are challenges: the resistance of parents; and we deal with injustices but persevere. These findings provide recommendations to improve the educational success for Black learners. Keywords: African Canadian, academic achievement and success, Black students, education, schooling challenges, students of African descent

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.494
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.155
GPT teacher head0.360
Teacher spread0.204 · 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 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

Citations26
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicParental Involvement in EducationFrench-language works237,207