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Record W4406988748 · doi:10.30612/nty.v12i20.19516

O desastre e a feitiçaria: refletindo a incidência da devastação capitalista a partir dos Kaiowá e Guarani

2024· article· pt· W4406988748 on OpenAlexaboutno aff
Arthur Paiva Octaviano

Bibliographic record

VenueRevista Ñanduty · 2024
Typearticle
Languagept
FieldPsychology
TopicMemory, Trauma, and Testimony
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

A intenção do presente artigo é colocar em perspectiva as noções de“Capitalismo de Desastre” (Klein, 2007), “Feitiçaria Capitalista” (Stengers & Pignarre, 2018)com a noção desenvolvida por mim junto aos Kaiowá e Guarani, durante a minha pesquisade mestrado (Octaviano, 2024), que versa sobre as violências promovidas pela ocupaçãocolonial do modo de vida dos brancos – Karaí Reko Kuera, traduzida por ara piraguai quepode ser entendida como uma forma de feitiçaria dos brancos- os karaí contra os modos deexistência Kaiowá e Guarani em Mato Grosso do Sul. Tais conceitos de desastre e feitiçariacapitalistas estão inscritos sob a insígnia de um projeto de gestão do capitalismo pretendidopor uma suposta “racionalidade neoliberal” (Dardot & Laval, 2018) que define as agendas docapitalismo periférico brasileiro, marcado majoritariamente pela exportação de commodities,que incide violentamente sobre os territórios Kaiowá e Guarani em Mato Grosso do Sul,provocando profundas alterações nas paisagens sociocosmológicas destes povos. Portanto,viso refletir os efeitos desse capitalismo feiticeiro e, ao mesmo período, de desastre,visualizados pelo ato recursivo supostamente racional da governamentalidade neoliberal(Foucault, 2004) sobre os Kaiowá e Guarani, e suas formas de ação política porreconhecimento (Honneth, 2003).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0050.008
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.063
GPT teacher head0.357
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 source (direct Gemma or distilled Codex), 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

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