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Indigeneity

2020· reference-entry· en· W4205123397 on OpenAlexaboutno aff
Arturo J. Aldama, Clint Carroll, Natasha Myhal, Luz Karime Coronel Ruiz, Maria Ruiz-Martinez

Bibliographic record

VenueLatino Studies · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSovereigntyNationalismColonialismGender studiesState (computer science)Identity (music)EthnologyPoliticsNegotiationPolitical scienceAnthropologySociologyLawAestheticsArt

Abstract

fetched live from OpenAlex

Issues of indigeneity, along with mestizaje—racial and cultural mixtures of African, indigenous, and Spanish ancestries and cultures that came as a result of the European colonization of the Americas—are core aspects of Chicana and Chicano and Latina and Latino identities, histories, and cultures. For Chicanas and Chicanos, understandings of indigeneity have shifted significantly since the early 1960s. During that time, tropes of cultural nationalism argued that all Mexican-origin people were descendants of the Aztecs, and that Aztlán—what many believed to be the conquered homelands of their Aztec ancestors encompassing the Four Corners region of the United States (Utah, New Mexico, Colorado, Arizona)—should be reclaimed. Today, a more nuanced understanding of Latinx/Chicanx indigeneity considers, for example, the complex politics of indigenous subjects migrating to settler colonial nation-states such as the United States, and the resulting negotiations of language and identity in this transnational space. Scholars of decolonial studies have added to this nuance by analyzing systems of heteropatriarchy (and the resulting gender binaries and practices of toxic masculinity) imposed through colonization and reinforced by such institutions as the Catholic Church. The editors seek to assemble and summarize key sources that speak to how indigeneity works within the transnational and transborder archives of colonization. This includes the differentiated ways that nation-states in the Americas have engaged with their indigenous pasts (including the sociopolitical and legal definitions of and practices toward indigenous communities and nations within the nation-state), as well as indigenous-led revitalization and sovereignty movements that envision decolonial futures. The goals of this bibliographic overview are to provide scholars interested in indigeneity in the Latinx context with key sources specific to Latinx communities and histories, while also considering important works that are grounded in Latin American, US, and Canadian indigenous contexts and histories. This bibliography thus invites scholars to explore the legal, political, social, and historical differences and similarities of indigeneity across hemispheric geographies. By juxtaposing the radical feminism of Gloria Anzaldúa (writing from the US-Mexico borderlands) with the decolonial visions of Michi Saagiig Nishnaabeg scholar Leanne Simpson (writing from her Canadian First Nation) the disjunctures and commonalities of indigeneity and decolonial thought are highlighted. The bibliography also include some key texts on indigeneity in Mexico, Guatemala, Honduras, Peru, and Bolivia that discuss places where the majority populations are mestiza/o and indigenous, and yet most indigenous communities, many whose first language is not Spanish, live in varying degrees of dispossession, poverty, and racial marginalization. The bibliography also invites scholars to consider Afro-Indigenous identities and community struggles in hemispheric frames.

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)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.977
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.017
Scholarly communication0.0130.008
Open science0.0020.009
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0230.007

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 head0.098
GPT teacher head0.376
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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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