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Record W4384695211 · doi:10.22215/etd/2023-15640

Perspectives of South African Women of Colour: Understanding Diasporic Networks and Levels of Engagement within the South African Diaspora in Canada

2023· dissertation· en· W4384695211 on OpenAlexafffundabout
Courtney Joshua

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsCarleton University
FundersUniversity of Winnipeg
KeywordsDiasporaKinshipScholarshipGender studiesThematic analysisIdentity (music)SociologyQualitative researchParticipant observationGeographyAnthropologyPolitical scienceArtAesthetics

Abstract

fetched live from OpenAlex

Ten South African-born women of color who migrated to Canada prior to 2004 were invited to participate in one-on-one in-depth semi-structured interviews to share how their personal experiences with apartheid and migration from South Africa to Canada may influence their desires to participate in South African diasporic communities and networks. Using a qualitative mixed-methods approach to analysis, I coded my data as part of my thematic analysis, which resulted in three themes emerging from my research: kinship as an influence on diasporic identity; food as an expression of culture and connection to community; and virtual diasporas and growing communities. This research builds on limited scholarship on the topic of the South African diaspora in Canada by exploring memories and experiences of South African-born women of color in Canada which influence their racialized and gendered perspectives on notions such as kinship, culture, community, and identity.

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)0.005
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 score0.104
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0330.013
Scholarly communication0.0060.002
Open science0.0010.007
Research integrity0.0010.003
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 head0.054
GPT teacher head0.274
Teacher spread0.220 · 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
Published2023
Admission routes3
Has abstractyes

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