The power of a "hot" haircut : hair, sexuality, and self at the salon.
Bibliographic record
Abstract
Hair, as it is fashioned in this research project, is a lens which brings embodiment, if only \nephemerally, into a place of expressive focus. This thesis considers, as its subjects of \nresearch, women between the ages of 20 and 30 in Victoria, BC, Canada, who \npurposefully use the hair styling services of a regular stylist to negotiate social anxieties \nand play with possibilities of identity through the medium of hair. I engage with the \nconcept of embodiment specifically in order to approach current theoretical concerns in \nanthropology with how commodity culture plays out and is played upon, both materially \nand ideologically, through the bodies of social actors. Hair is particularly well suited to a \ntheoretical concern with embodiment because it is a biological medium of cultural \npliability; it occurs at the interface of a biological entity, upon which it grows, and a \ncultural being, who styles it.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| 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 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".