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Record W2924105699

Transnational (Be)longing: The educational experiences and careers of two young professional Black Canadian women in Vancouver

2018· article· en· W2924105699 on OpenAlexaffabout
Annette M. Henry

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiasporaGender studiesMulticulturalismNarrativeSociologyIdeologyGrounded theoryPeriod (music)Political scienceQualitative researchSocial sciencePedagogyPoliticsAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Little has been written about contemporary Blacks in British Columbia, yet there has been a Black presence since the 1850s. Even less has been documented regarding Black women. This essay explores the lives of two educators in their early thirties who live in the city of Vancouver. Their narratives reveal their transnational and diasporic experiences and (be)longings as Canadians. The research is framed by theories of diaspora, critical Black feminisms, and life history theory and methodology. The study used an interpretive design. Participants were interviewed over a three-year period in which they discussed their educational experiences and careers. Data were analyzed inductively, using a grounded theory approach. The findings reveal the ways in which they navigated their identities, relationships and work in one of Canada’s major cities. These narratives challenge the relevance of Canadian education to Canadians of all backgrounds as well as the ideology of Canadian multiculturalism. They also shed light on the professional challenges of African Canadian women in a region of Canada where they are understudied and contribute to emerging research in Canadian Black studies.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.056
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0560.011
Scholarly communication0.0060.002
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.344
Teacher spread0.307 · 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
Published2018
Admission routes2
Has abstractyes

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Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicEducation Systems and PolicyFrench-language works237,207