Bibliographic record
Abstract
Materials produced for media and popular culture courses at the Open University have played an important role in consolidating and developing the field of cultural studies. The texts for Culture, Media and Identities D318 will clearly play this kind of definitive role and present an opportunity to think about where we are at. Outside the OU we are unlikely to use the whole set of six books; together they are priced at about $200 Canadian. This review will focus on the introductory book, Doing Cultural Studies, which has been used successfully in teaching Cultural Studies 100 at Trent University. How to introduce cultural studies for a large undergraduate course? A monograph like Dick Hebdige's Subculture or a textbook like duGay's Doing Cultural Studies? Hebdige has an intertextual relation to Althusser, Gramsci, Barthes, and Kristeva. A conscientious university reading needs, then, to introduce students to these theorists. Hebdige represents a challenge to notions of lived culture: his subculture is an uneasy tension between diasporic cultural practices and "traditional " cultural experience in a metropolitan city. We have all done these lectures---culture as elite, as lived experi-ence, as imaginary relations to real conditions of existence, as struggle-and then the
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.102 | 0.032 |
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".