Bibliographic record
Abstract
Just three American magazines were devoted to food in 1973. while today the number has grown exponentially to over thirty. In this research project I tell the story of why this happened at this particular historical juncture. I am also interested in researching a particular locale. Specifically, this dissertation studies Vancouver foodies in the context of globalized consumer society. "Foodies" is a term used by the media and, grudgingly. by foodies themselves. It denotes people whose identity is partly formed by eating "good food" and by regularly consuming a range of products from cooking magazines to kitchen tools. On the basis of semi-structured interviews with twenty Vancouver area foodies as well as "tours" of their pantries and refrigerators, I discuss foodies' cooking. shopping, eating and reading practices. I also discuss their kitchen fantasies. In addition I analyze a typical issue of two favourite food magazines: Saveur and Bon AppPtit. The primary research question, which organizes the dissertation. asks about the structure of this social group? Is it predominantly a lifestyle formation coming together through leisure pursuits and consumption choices? Is it a taste culture stemming from a certain class fraction? Is it a subculture with alternative values? Or is it simply a target market identified by media and advertisers? Foodies tend to be cultural and social specialists who use cultural forms of distinction over socio-economic forms; in Bourdieu's terms they use "ostentatious simplicity" instead of conspicuous consumption. For example, their consumption of exotic or expensive regional specialties, like pomegranate molasses and.fleur de Camargue salt, displays their cultural capital. At the same time their consumption of local, artisanallyproduced organic food symbolically resists industrial agribusiness and genetic modification (GM) technology. Core foodies, such as upscale restaurant chefs, are moreover explicitly critical of both and may also be politically active in the organic or slow food movements. Foodies use their support of alternative farming practices as another sign of "culinary capital." Cultural distinction thus works to reproduce consumerist values as well as to resist them. I explore these tensions at the level of everyday lived experience.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".