Crafting a DIY Campervan and Crafting Embodied, Gendered Identity Performances in a Hyper-masculine Environment
Bibliographic record
Abstract
This paper presents a multi-media textual collage that shows rather than tells the lived experiences of my conversion of a DIY campervan over several months in a diesel mechanic workshop in Sydney, Australia. This is a “small culture,” (Holliday, 1999) to which I gained limited access as I developed craft skills and the confidence to speak back to relative, milieu-specific, gendered power. I use autoethnographic textual fragments written shortly after the moment to depict the struggle to acquire skills, build confidence, and cross “small” cultures in an unusual crafting context. Grounded theoretical insights are suggested as they relate to three things. First, I examine the nature of individual, self-directed learning as engendered by the non-expert, hands-on doing of craft supported by YouTube instructional videos. Second, I consider positive and negative affective identity factors, particularly feelings of competence or incompetence and challenges to my own (female, middle-aged, injured, and non-expert) embodiment. Third, I consider the collaborative, discursive ways in which hegemonic and non-hegemonic masculinities were talked into being as contingent, relational identities against the foil of a constructed “other.”
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".