Female skateboarders and their negotiation of space and identity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I have considered how female skateboarders negotiate space and identity in a male-dominated subculture and question a society that is intent on perpetuating an attitude that subcultures are a domain for developing masculinity. Female skateboarders have always participated alongside the men, but it has been a constant struggle because their accomplishments are rarely encouraged by the skateboard media industry, and mainstream media representations reflect this practice. In recent years, girl skaters have taken it upon themselves to create their own visibility and develop networks of support by producing websites, videos, zines, and organizing "all-girls" skateboard competitions. As a result, a unique community of female skateboarders has been established. Female skateboarders come from a variety of backgrounds, and I focus upon the experiences of a group of women skateboarders from Montreal, Canada by conducting interviews and observing how the group has evolved. Despite the diverse and even contradictory responses, it is apparent that when female skateboarders actively participate in the subculture they are redefining traditional notions of femininity and assumptions regarding who should be valued as an "authentic" skateboarder. My thesis traces a history of women in skateboarding, describes their activities as cultural producers, and offers insider accounts, such as acts of resistance. I also make comparisons with the situation of sportswomen and challenge past subcultural research that limit the participation of girls to their relationships with male members. It was my goal to exhibit how women can adopt, share and innovate their subcultures' ideals.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it