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Record W4367334357 · doi:10.14506/ca38.1.03

Evasion

2023· article· en· W4367334357 on OpenAlexafffund
David C. Thompson

Bibliographic record

VenueCultural Anthropology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsSimon Fraser University
FundersInstitute of International Studies, University of California BerkeleySimon Fraser University
KeywordsEvasion (ethics)PrisonLegitimacyHumanitiesPunitive damagesSociologyPolitical scienceLawCriminologyArtPolitics

Abstract

fetched live from OpenAlex

This article examines Brazil’s project of incarceration through the figure of evasion (evasão)—the act of escaping prison custody, often temporarily. Evasion traces a path across the borders of captivity and freedom, as people routinely flee confinement, only to return of their own accord. I position both prisons and evasion as part of an ongoing history of, and tension between, Black fugitive life and emancipation in Brazil and the Americas. I argue that while evasion offers no clear exit from the punitive edge of the law, it produces another mode of inhabiting the time and territory of incarceration. With a focus on two incarcerated Black travestis, I outline some of these evasive movements and demonstrate the fault lines that they reveal—both within the prison system’s own claims to legitimacy and in the concepts that we bring to bear on incarceration. RESUMO O presente artigo examina o projeto brasileiro de encarceramento através da figura da evasão: o ato, muitas vezes temporário, de fugir da custódia penal. A evasão traça um caminho que atravessa as fronteiras entre a prisão e a liberdade, visto que as pessoas fogem frequentemente, voltando depois por vontade própria. Situo presídios e evasão como partes de uma história contínua e uma tensão entre vida negra em fuga e emancipação no Brasil e na América. Constato que, embora a evasão não ofereça saída do fio punitivo da lei, produz outro modo de habitar o tempo e o território do encarceramento. Focando em duas travestis negras presas, delineio alguns desses movimentos evasivos e demonstro as linhas de falha que elas revelam—tanto dentro das pretensões de legitimidade do sistema penal, como dos conceitos a que recorremos para analisar o encarceramento.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.073
GPT teacher head0.421
Teacher spread0.348 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2023
Admission routes2
Has abstractyes

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