“Don’t Call Me Eskimo”: Representation, Mythology and Hip Hop Culture on Baffin Island
Bibliographic record
Abstract
Abstract: Through a contextualization of the song, “Don’t Call Me Eskimo, ” which was launched on the interactive website YouTube in 2007 and an analysis of three examples of hip hop culture drawn from her ethnographic fieldwork on Baffin Island in June/July 2008, the author makes the argument that hip hop culture in Nunavut enables a re-working of contemporary Inuit identity. As part of this re-working, Inuit youth mediate representations of themselves and their current lived experiences through mobile technologies and local networks, challenging common stereotypes and reified identities that continue to circulate in political, cultural, and national discourses. You Can’t Stop the Hip Hop!2 “You can’t stop the hip hop! ” is a statement of significance and provocation – a declaration that has been professed to me (a hip hop scholar, researcher, fa-cilitator, and enthusiast) by young people living both in the northern regions of Canada on Baffin Island and those living in southwestern Canada in the prairie provinces of Saskatchewan, Manitoba, and Alberta. To understand the complex meaning(s) of this statement, one needs to consider the continually
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.029 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".