Quest for Communitas: \nUsing the carnivalesque aesthetic to co-design a transformative rite of passage with high-school dropouts– a generative exploration.
Bibliographic record
Abstract
The Province of Quebec has a staggering high school dropout rate of 19% for boys and 12% for girls. Often, efforts to help these young people are mostly focused on remedial school work. As such, they fail to fully address some key psychological elements of adolescence and early adulthood. For this project, I therefore decided to look at the problem by considering adolescence as a transitional or liminal phase from youth to adulthood, one necessitating special recognition by the larger community. I also considered the adolescent brain's propensity for risk-taking and its desire for heroic stories as means to discover the world during this liminal period. This led me to look to rites of passage, play, theatre and the aesthetic of the carnivalesque as means to create humorous, and symbol-laden ways for the youth to engage with the world. \nThe research took the form of eight (8) day-long sessions, structured like a rite of passage, focusing on rituals that were co-designed with a group of high school dropouts attending a youth center in Trois-Rivières. We used Future Workshops Participatory Design principles and Augusto Boal’s Games for Actors and Non-Actors as means to encourage free and authentic contributions from the participants. The work was at times filmed in order to provide participants with a method for self-analysis crucial in their ritual design. Beyond increasing participants’ self-esteem and sense of belonging, this project provides educational designers with new play-based ideas for engaging youth as well as a carnivalesque approach for participatory design.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.031 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".