MétaCan
Menu
Back to cohort
Record W7111467056

Fragments in the Flesh: an Autohistoria-Teoría of Disability and Decolonist Rhetorics

2024· article· en· W7111467056 on OpenAlexaboutno aff

Bibliographic record

VenueTUScholarShare (Temple University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeAutoethnographyIdentity (music)Focus (optics)QueerQueer theoryOrder (exchange)Reflexive pronounPersonal narrative
DOInot available

Abstract

fetched live from OpenAlex

This text is an Anzaldúan autohistoria-teoría, a genre that blends the autoethnographic with poetry, fiction, visuals, and theories rooted in narrative identity. Specifically, this dissertation is modeled after Anzaldúa’s own incomplete doctoral dissertation, Luz en el oscuro/Light in the Dark. In Anzaldúa’s final text, she continues her exploration of the new mestiza, but she tempers it with nuanced views on the particulars of identity, alongside deeply personal explorations of her understanding of herself as a chicana, an academic, and a person in an aging body. As with much of her work, she blends creative elements with her theory, including poetry, memoir, and drawings she made to illustrate her theoretical concepts (the autohistoria-teoría). In addition to this, I use Cherrie Moraga’s theory-in-the-flesh (a concept wherein theory is built on particular experience) to provide theoretical justification. I also borrow from Jaques Derrida, Edward Said, Gayarti Spivak, and Roland BarthesBy using Moraga’s and Anzaldúa’s ideas as a roadmap for my own writing, I place myself firmly within a feminist and queer framework, with a focus on decolonial and disability rhetorics. For this dissertation, I use autohistoria-teoría to explore historical traumas through a personal lens, as well as personal trauma through a historical lens. I propose four concepts in narrative identity in order to explore these ideas: los zorros (decolonial metis), pishtaco/Inkarri (decolonial hauntology), el tumi (disability metis), and el retablo (pedagogical concerns).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.347
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTUScholarShare (Temple University)Same topicDisability Rights and RepresentationFrench-language works237,207