Young diaspora Somali women's navigation of intersectional identities in online social media spaces
Bibliographic record
Abstract
Using Crenshaw’s work on intersectionality, this research examines how young Somali women have used the arts to challenge negative mainstream media discourse regarding the Black, Muslim and Somali identities. This research, similar to Crichlow's work on narrative sharing in the classroom space being used to amplify the voice of the oppressed and the marginalized, finds that young Somali women are using the arts interact with their intersectional identities and share them in online spaces. Social media has provided room for them to use and amplify their own voices which inevitably challenges negative representations promoted by mainstream media outlets while interacting with their intersectional identities. Using 6 Somali women from the arts communities in two of the major Somali-populated cities in the West; Toronto, Canada, and Minneapolis, USA, this work explores how young Somali women artists have been able to critically and creatively shape a more nuanced discourse about their identities. Keywords: Diaspora youth, Black AND Muslim, Somali women, arts-based inquiry, belonging, social media, narrative sharing, resiliency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".