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Record W4385408306 · doi:10.29173/assert56

“We deh yah”

2023· article· en· W4385408306 on OpenAlexvenueaboutno aff
Tianna Dowie‐Chin

Bibliographic record

VenueAnnals of Social Studies Education Research for Teachers · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationDiversity (politics)CitizenshipGender studiesSocioeconomic statusPopulationIdentity (music)SociologyPolitical scienceGeographyDemographyAnthropologyPoliticsLaw

Abstract

fetched live from OpenAlex

In August 2022, Garvin Yapp, a 57-year-old migrant farm worker from Jamaica, was killed while working on a tobacco farm in Ontario, Canada. Yapp’s untimely and preventable death came just days after Jamaican farm workers penned a letter comparing their working conditions in Southern Ontario to “systematic slavery.” What was glaringly missing were accounts of the experiences of Black immigrants, like Yapp or my grandmother, who represent a large percentage of Black Canadians. Their stories and our stories were missing. When in reality, “We deh yah!” ). Black immigrants, specifically those from the eastern Caribbean, are a notable part of Canada’s history and present yet the Canadian curriculum often essentializes the Black American experience as representative of Black Canadians. While Black Canadians born in the US are an important part of the Black Canadian population, this essentialization of Black Canadians obscures the lived realities of Black Canadians who often experience antiblackness that is shaped by their intersectional identity, related to citizenship, language, and socioeconomic status. Thus, to truly apprehend and challenge the manifestation of antiblackness in Canada, it is imperative to recognize and understand the diversity of Black Canadians. This article offers two things educational stakeholders, like teachers, should consider in order to work towards recognizing the diversity of Black Canada
 

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.541
GPT teacher head0.615
Teacher spread0.074 · 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 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
Published2023
Admission routes2
Has abstractyes

Explore more

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