Bibliographic record
Abstract
This project seeks to treat the word “local” as a social construct that, if left unexamined, has concrete consequences, from seed to fork, and from reader to student writer. As a study in contemporary rhetorical formations, I focus on what I term the genre of Locavore writing as a discrete genre of social movement writing, to intervene in definitions and applications of a set of rhetorical concepts; discourse communities, rhetorical situations, and proverbial knowledge. Additionally, I reframe the need for post-spatial turn considerations within rhetorical studies in spatial rhetoric for both the study of literature, and writing pedagogy. The focus on definitions of “local” eating, and what thinking or acting “locally” activates for its discourse community of readers and eaters is metonymic of North American constructions of space on county, state and national levels (in both the United States and Canada). For example, discourse communities of readers and eaters end up operating in predetermined discursive and discrete “local” spaces, in ways that are at odds with accepted definitions for the operation of discourse communities. The foundational texts that I examine in the Locavore genre are Gary Paul Nabhan’s Coming Home to Eat (2002), Barbara Kingsolver’s Animal, Vegetable, Miracle (2007), Alisa Smith and J. B. MacKinnon’s 100 Mile Diet (2007), and Michael Pollan’s The Omnivore’s Dilemma (2006). Through close-readings, I use a combination of classical and contemporary rhetorical lenses in order to show the relevance of these rhetorical tools in both reading contemporary cultural and spatial formations, as well as reading and teaching literature and writing in ways that shape food choices on individual and systemic levels.
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.037 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".