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Record W2765529405 · doi:10.15402/esj.v1i1.226

“There’s some colonial in my postcolonial”: Community Development Workers’ Perspectives on Faith-based Service Learning in a Guatemalan Context

2017· article· en· W2765529405 on OpenAlexvenueno aff
Geraldine Balzer, Luke Heidebrecht

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsFaithColonialismContext (archaeology)Service-learningService (business)Construct (python library)SociologyPolitical sciencePublic relationsEnvironmental ethicsHistoryPedagogyLawBusiness

Abstract

fetched live from OpenAlex

Faith-based relief and development organization Mennonite Central Committee (MCC) has been involved in the country of Guatemala since 1976 when they responded to relief needs in light of the devastating earthquake at the time. Since then MCC has invested in a number of communities throughout Guatemala in various capacities, one of which has been the development of service and learning opportunities aimed at exposing and connecting students/participants in the global north with the people and issues within the global south. As researchers of service learning, who are also committed to a faith tradition and have participated in or have been in relationship with MCC in some capacity, we are interested in evaluating how their faith tradition has helped to both construct their practice as well as critique it. One of the aims of our research is to collaborate with MCC practitioners in assessing and examining their current practice of service/learning in Guatemala in an effort to discover ways in which they are creating opportunities for positive societal change – both in the lives of the student/ participants and the communities in Guatemala, while critiquing the traditional colonial and neocolonial approaches to development.

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)0.763
metaresearch head score (Gemma)0.432
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7630.432
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.5580.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0000.581
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 head0.130
GPT teacher head0.405
Teacher spread0.276 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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