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Record W7043667185

There's no space like home : locavore writing and rhetorics of place

2017· article· en· W7043667185 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Archive - University at Albany (University at Albany, State University of New York) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionRhetoricReading (process)Rhetorical deviceDilemmaCognitive reframingAppropriationDiscourse communityDiscourse analysis
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0080.002
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.221
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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