Dancing politics : connecting women's experiences of rave in Toronto to ageism and patriarchy
Bibliographic record
Abstract
Based on a critical analysis of recent Canadian and British media, academic, and political representations \nof rave, in conjunction with the author's and ten female interviewees' past experiences as active rave \nparticipants, the purpose of this thesis is to show the ways that rave can be understood as political. \nDrawing on a post-structural understanding of politics, which understands macro social issues and micro \npersonal experiences as intimately linked and inseparable, this thesis fills a gap in the existing rave \nliterature by explicitly drawing out (a) the ways that active rave participation is entangled in dominant \nunderstandings of age and gender-appropriate activities, and (b) the implications that these \nentanglements have on the ways that some women experience and construct their past active rave \nparticipation. Specifically, the author examines the ways that age and gender intersect and inform the \ndiscourses on which research participants drew to describe and rationalize their experiences of \nbecoming, being, and ceasing to be active rave participants in Toronto, Ontario, Canada. At the same \ntime that the majority of research participants' introductions to rave followed heterosexualized and \nheternormative patterns, they also constructed active rave participation as a way to challenge popular \nrepresentations of rave as an inappropriate activity, especially for young women. When rationalizing the \ncessation of their active rave participation, however, these women reproduced depictions of rave \nparticipation as a transitory and juvenile phase where older women are particularly misplaced. The \nvarious ways that these women simultaneously challenged, experienced, and facilitated dominant ageist \nand patriarchal discourses about who does and does belong in rave are interpreted as evidence that micro \nrave experiences cannot be divorced from macro discriminatory discourses, and that "the personal is \npolitical."
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".