Producing Authenticity: Urban Youth Arts, Rogue Archives and Negotiating a Home for Social Justice
Bibliographic record
Abstract
Social justice needs a home, a place where it can be found, especially for young people growing up in fragmented and increasingly inequitable societies. Community youth arts organizations have secured a certain prominence in this context over the past three decades and are now part of the urban infrastructures that shape connected learning networks in highly industrialized nations. In this capacity, youth arts organizations regularly engage a language and aesthetics of authenticity and trust as part of how they call out, represent and make a home for children and youth. This paper examines how authenticity in youth culture and youth cultural expression is negotiated by arts organizations and how organizations locate their own trustworthiness as allies of young people through the curation of online media archives. The analysis draws on the internet media archives of two youth arts organizations in Canada’s largest English-speaking cities. The Oasis Skateboard Factory (OSF) in Toronto, ON is an extension program of the Toronto District School Board that enables participants to create their own brands and learn to run a skateboard or professional design business. ReelYouth (Vancouver, BC) started in Vancouver in 2005 as a community media empowerment project, and now delivers programs across Canada and internationally.The claims to youth authenticity articulated in each media archive reveal how authenticity and trust are negotiated ideologically by each organization and how organizations mark their ontological status, as a home from which young people can think and respond to an unjust world. I examine how youth authenticity is produced by analyzing how discourses of youth identity, connection and trust are deployed across each archive. Whilst showcasing how authenticity is negotiated by each group, I show how the production of authenticity discourses by OSF and ReelYouth simultaneously convey a deeper reality: the way youth arts groups operate as care structures (Scannell, 2014) that offer ontological security (Giddens, 1991), and places of increasing “awareness of previously unnoticed interconnections” (Frosh, 2019, p. 16) for youth. In this way, they operate as sites of border work, places of routing from which the work of social justice can be borne.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.039 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.001 | 0.021 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".