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Record W4404188815 · doi:10.1177/00220221241295752

Indigeneity in Context—Evolving Maya Ch’orti’ Notions of Cultural Identity: A Qualitative Study From 1993 to 2019

2024· article· en· W4404188815 on OpenAlexaff
Daniel Bagheri Sarvestani, Gesa Solveig Duden

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsConcordia University
Fundersnot available
KeywordsMayaIdentity (music)Context (archaeology)AnthropologySociologyCultural identityQualitative researchGenealogyGeographyHistoryAestheticsArtArchaeologySocial science

Abstract

fetched live from OpenAlex

The Maya Ch’orti’ people are Indigenous to the border regions of Honduras and Guatemala. For a great number of years, they have faced structural racism and discrimination combined with continued land dispossession. In the contexts of colonization and the creation of the modern Honduran state, any identification with Indigenous groups has generally had negative connotations. Since the advent of the Indigenous Peoples’ Rights Discourses (IPRD), however, more communities have actively aligned with the Maya Ch’orti’ people. In our investigation of the ways in which cultural identity and belonging to a Maya Ch’orti’ community have shifted and evolved over time, we analyzed a total of 45 interview transcripts across three time points (1990s: n = 15, 2003–2004: n = 15, and 2018–2019: n = 15) using thematic analysis and a cross–data set analysis. Five major themes were developed: “Our land,” “In the past, we were oppressed and ashamed,” “Difficult present life: We are still oppressed,” “Maya Ch’orti’ revitalization and empowerment,” and “Being Indigenous.” As we compared these themes across our time points, it became apparent that notions of cultural identity have evolved in the Maya Ch’orti’ community from a negative appraisal to a positive, empowered, and confident notion. Our findings are being discussed in connection to the context of the IPRD and Indigenous peoples in other countries.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.064
GPT teacher head0.539
Teacher spread0.475 · 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 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
Published2024
Admission routes1
Has abstractyes

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