MétaCan
Menu
Back to cohort
Record W2734651223 · doi:10.22215/sjcs.v5i1.292

"I didn't want to be anything special. I just wanted to teach school": A Case Study of Black Female Educators in Colchester, Ontario, 1960

2012· article· en· W2734651223 on OpenAlexaffabout
Funké Aladejebi

Bibliographic record

VenueSouthern Journal of Canadian Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsYork University
Fundersnot available
KeywordsInjusticeGender studiesAttendanceRacismOppressionDesegregationSociologyResistance (ecology)MulticulturalismPolitical scienceCriminologyPedagogyLaw

Abstract

fetched live from OpenAlex

The story of School SecBon #11 (S.S. #11) stood as a sharp reminder of racial injustice and the black experience in Canada. Located in Essex County, Ontario, the separate school maintained a predominately black student attendance until 1965, when parents and school board members negotiated its eventual closure. As the location of the last racially segregated school in Ontario, Canada, S.S. #11 remained one of the many institutional forms of racial segregation in Canada. This paper endeavors to prove that national policies surrounding multiculturalism and human rights did not eradicate local practices of racial prejudice and discrimination. More importantly, I will argue two main points, first, that African Canadian action in Colchester stood as a microcosm of black activism throughout Canada. The second part of this paper will focus on S.S. #11's black teachers who advocated equal education while holding paradoxical positions of compliance and resistance within the Colchester community. In advancing a case study on Colchester Township, this paper proposes to examine fragmented province-wide educational standards and problematic race relations in Colchester as indicative of lived experiences in various Canadian communities. Ultimately, this research will speak about subtle nuances in the Canadian educational system that tended to remove blacks as Canadian citizens and active historical agents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0010.000
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 head0.066
GPT teacher head0.310
Teacher spread0.245 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueSouthern Journal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207