Bibliographic record
Abstract
Montreal, Canada, is a vibrant multicultural and multilingual city, within which, unfortunately, racialized youth grapple with discrimination and marginalization, shaped by a confluence of institutional, cultural, and political forces.However, the dynamic realm of hip-hop culture provides a transformative avenue for emerging artists, offering alternative spaces of belonging.In this chapter, we build on previous scholarship on hip hop as a site of social and cultural redefinition for marginalized identities.Our study explores how music creation and community-building at a recording studio can foster youth wellbeing.Located in a free after-school youth center, the studio supports well-being through the development of community, critical perspectives, self-expression, and performative hip-hop identities.We argue that this positive hip-hop identity is anti-essentialist and that it challenges reductive and exclusionary models of Quebec identity and belonging.Our methods are ethnographic, including participant observation and interviews with nine youths aged 18 to 21.In August 2022, the Rseau express mtropolitain (REM), an electric train network under development in Montreal, posted to their TikTok account a freestyle created by rapper Maky Lavender commissioned to promote the new transit option.The video was widely criticized and then deleted due to criticisms that Lavender, a Black bilingual MC, rapped only in English.The Quebec government agency in charge of the REM had hired Lavender to perform as part of a publicity campaign a year prior and recorded this freestyle at that time.The agency explained that
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 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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".