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Record W309281555 · doi:10.5206/cie-eci.v41i1.9194

International Volunteers’ Serving as Teachers in Rural Indigenous Schools in Ecuador: Challenges and Opportunities for Culturally Relevant Teaching

2012· article· en· W309281555 on OpenAlexaffvenue
Julia Rao, Sarfaroz Niyozov

Bibliographic record

VenueComparative and International Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousEthnographySituatedNarrativePedagogySociologyColonialismPrincipal (computer security)International educationIndigenous educationPolitical scienceHigher educationAnthropology

Abstract

fetched live from OpenAlex

This ethnographic study is situated in the complexities and dilemmas of international aid education (IAE), the volunteer sector and cross-cultural learning and teaching. It examines the challenges and opportunities faced by three international volunteers (IVs) teaching in Indigenous communities in rural Ecuador. Through onsite observations and interviews, along with discussions with principal participants (IVs), and secondary participants (three local teachers and the volunteer program director), we present a narrative of the IVs experiences, pedagogical approaches and the factors which affect culturally relevant teaching (CRT) practices. This illustration serves as a platform for a cross-comparative analysis of key themes and issues related to CRT and anti-colonial education in the sphere of IAE. The paper concludes by identifying the implications of IAE may have on the local education and Indigenous knowledges and highlights issues and concerns that must be addressed so that anti-colonial CRT can occur within international cross-cultural contexts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.544

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.155
GPT teacher head0.424
Teacher spread0.270 · 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
Published2012
Admission routes2
Has abstractyes

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