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Record W6888936473 · doi:10.25364/27.1:2021.1.5

Material Weapons: Paratext, Ethics, and Testimony in Carmen Aguirre’s Something Fierce

2021· article· en· W6888936473 on OpenAlexaff

Bibliographic record

Venueunipub · 2021
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsScholarshipAgency (philosophy)Subject (documents)PoliticsEconomic JusticeMemoirKey (lock)

Abstract

fetched live from OpenAlex

From its title onward, Something Fierce uses a host of material strategies that position the book as a testimonio – narrating Carmen Aguirre’s Memoirs of a Revolutionary Daughter not only as a coming-of-age memoir, but rather as the communal story of the Chilean resistance, expressing an urgent justice claim, and invoking readers’ responsibilities as witnesses. To develop my analysis of Something Fierce, I consult scholarship on paratext, the genre of testimonio, and research on the ethical and political stakes of testimonies as cultural commodities. I thus establish the key role of paratext as strategic “thresholds of interpretation” (Genette) that allow renegotiating the dynamics of the memoir’s national and transnational “testimonial transactions” (Whitlock). In so doing, I demonstrate how the material envelope of Something Fierce serves to mobilize testimony’s call-and-response dynamics, to revise the power-balance between the testifying subject and their addressees – asserting authorial agency and invoking audience’s implication.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.083
GPT teacher head0.362
Teacher spread0.278 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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