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Record W2729208750 · doi:10.22215/sjcs.v5i1.293

For Us by Us (FUBU): The Politicized Space of Black Women's Entrepreneurship in Canada

2012· article· en· W2729208750 on OpenAlexaffabout
Mélanie Knight

Bibliographic record

VenueSouthern Journal of Canadian Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDiasporaEntrepreneurshipGender studiesPoliticsSociologyIdentity (music)HegemonyNarrativeWhite (mutation)Articulation (sociology)Political scienceAestheticsLaw

Abstract

fetched live from OpenAlex

The Black presence in Canada is most commonly described as a homogeneous foreign presence that emerged during the 1960s. In this paper, I explore how Afro-Caribbean women entrepreneurs in creative industries deploy a counter-discourse against hegemonic racist white discourses of blackness in Canada. The counter-narrative they deploy, that I call For Us by Us discourse, challenges the official national story of Blacks in Canada. Black women rearticulate, through their business activities, a Canadian blackness that is defined by them. This articulation is described in both local, as rooted in Canada and global, Black diaspora, ways. The notion of the Black diaspora allows for great malleability and fluidity of notions of identity and belonging. This powerful political counter-discourse can, however, also be exclusionary when it too homogenizes identity. This counter-discourse, however contested, is made possible through entrepreneurship. Participation in this status of work is very strategic, in that, it allows for the creation of political spaces, aimed at developing community, that are often denied to Blacks.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.397

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 studies0.0000.000
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 head0.033
GPT teacher head0.271
Teacher spread0.238 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

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