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Record W2950156303

"Anchored in Our Culture, Focused on Our Future": Negotiating Spaces for Somali Women in Toronto through Gashanti UNITY

2018· dissertation· en· W2950156303 on OpenAlexaboutno aff
Muna Ali

Bibliographic record

VenueYork University Digital Library (York University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliGender studiesIntersectionalityRacismIslamophobiaOppressionSociologyNegotiationIdentity (music)XenophobiaPolitical sciencePoliticsSocial scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This research presents and analyses the experiences of second-generation Somali women in Toronto, and argues that there is a significant gap in research about young Somali-Canadian women, and the way they utilize different strategies to manage their multiple and hyphenated identities in order to negotiate social and political spaces for themselves. Through organizations like Gashanti UNITY, with their Anchored in Our Culture, Focused on Our Future motto, young Somali women have taken ownership of their own narratives, through the sharing of their experiences and aspirations. This research seeks to examine and understand specifically the experiences of young self-identified Black, Muslim, Somali, Canadian women, drawing on an interdisciplinary theoretical framework, as well as Intersectionality and Black feminist theory. It highlights ways in which these young women resist and subvert multiple forms of oppression, including, racism, Islamophobia, xenophobia and sexism. This thesis concludes with suggestions for further research that considers the lives and contributions of young Somalis in Canadian society. 
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\nKeywords: Somali, Women, African, Black, Canadian, Identity, Intersectionality, Black Feminist Thought, race, gender, Islam, islamophobia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.241
Teacher spread0.221 · 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 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 routes1
Has abstractyes

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