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Record W3202829290 · doi:10.1080/01425692.2021.1981247

How African Nova Scotians envision culturally relevant and sustaining pedagogy as civic repair

2021· article· en· W3202829290 on OpenAlexafffundabout
Johanne Jean‐Pierre

Bibliographic record

VenueBritish Journal of Sociology of Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsToronto Metropolitan University
FundersRyerson University
KeywordsSociologyTransformative learningCultural capitalMeaning (existential)DemocracyCritical pedagogyNova (rocket)Qualitative researchPedagogyInterpretation (philosophy)Meaning-makingCritical theoryGender studiesSocial sciencePolitical sciencePsychologyPolitics

Abstract

fetched live from OpenAlex

African Nova Scotians constitute the largest multigenerational Black Canadian community, with 400 years of presence in Atlantic Canada. Despite the end of de jure school segregation in 1954, African Nova Scotians’ social and cultural capital were not incorporated in curricular and pedagogical practices. Using the theoretical framework of cultural trauma, this article draws from a qualitative study conducted using semi-structured interviews and focus groups with sixty participants. A cultural trauma process takes place after a traumatic event and involves a cycle of meaning-making and interpretation that can result in demands for reparation or civic repair. This study illustrates how through the cultural trauma process grounded in their collective memory, African Nova Scotians articulate an aspiration for culturally relevant and sustaining pedagogy as a form of civic repair. This transformative pedagogy would facilitate a reconnection with their heritage and a fulfilment of the democratic goals of public education.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

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 studies0.0020.001
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 head0.016
GPT teacher head0.334
Teacher spread0.318 · 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 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

Citations14
Published2021
Admission routes3
Has abstractyes

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