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Record W3009935924 · doi:10.5539/jel.v9n2p104

A Qualitative Inquiry into Students’ Transformative Learning Experiences in Old Havana’s Escuela Taller

2020· article· en· W3009935924 on OpenAlexvenueno aff
Elizabeth A. Gilblom, Jonathan E. Messemer

Bibliographic record

VenueJournal of Education and Learning · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningQualitative researchValue (mathematics)Cultural heritagePedagogyPsychologyCultural competenceSociologySocial scienceGeography

Abstract

fetched live from OpenAlex

This qualitative study employs transformative learning theory to investigate the learning experiences of 18 current students and graduates of Escuela Taller ‘Gaspar de Melchor de Jovellanos’ (ET) in Old Havana, Cuba. ET is a tuition-free, skilled-trades program that trains adult learners with limited economic resources and opportunities to conserve and restore cultural heritage, including historic structures, artwork and ironwork. The purpose of this study was to determine if and how participants transformed as a result of attending ET. Participants experienced professional and personal transformations that they attributed to learning a trade, learning how to collaborate, rediscovering their Cuban heritage, and participating in the restoration of Old Havana. The findings also underscore the significance of becoming cultural agents, who they define as individuals who experienced transformations from attending ET who support the transformations of others in their local communities by educating them about the significance and value of Cuban cultural heritage.

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)0.001
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 score0.051
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.060
GPT teacher head0.444
Teacher spread0.384 · 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
Published2020
Admission routes1
Has abstractyes

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