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Record W4410821062 · doi:10.54014/arc0-rcj9

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

2017· dissertation· en· W4410821062 on OpenAlexaboutno aff
Darcy Mullen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
FundersState University of New York
KeywordsSpace (punctuation)AestheticsArtSociologyVisual artsArt historyPhilosophyLinguistics

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.910
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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