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Record W2112555356 · doi:10.5539/res.v6n4p74

Transformative Learning: Advocating for a Holistic Approach

2014· article· en· W2112555356 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReview of European Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningPerplexityCognitionPsychologyEpistemologyCognitive scienceProcess (computing)Perspective (graphical)Learning theorySociologyCognitive psychologyComputer sciencePedagogyArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

The present study lays the foundations for an integrated theory of transformative learning. Traditionally, theory and research in adult education have examined learning as a purely cognitive process. However, recent studies have shifted emphasis onto more holistic approaches, perceiving the individual as a whole, consisting of mind, body and spirit. Through thorough review of relevant studies, the present paper seeks to point out that transformative theories of learning have traditionally over-relied on rational and cognitive processes in describing perspective transformation, while it makes the assumption that for transformative learning to take place, cognitive, physical, emotional, and spiritual dimensions are closely interrelated. When we come to knowing and learning, linear and fragmented approaches cannot account for the perplexity of the human being, consisting of mind, body and spirit, and therefore all these parameters should be attended to.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.114
GPT teacher head0.422
Teacher spread0.309 · 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