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Record W4412728314 · doi:10.1177/15413446251362796

Reconceptualize Transformative Learning Theory on Honneth Social Justice Theory: A Case Study of Adult Returning to School in Québec’s Cégep Continuing Education

2025· article· en· W4412728314 on OpenAlexaffabout
Jonathan Martel

Bibliographic record

VenueJournal of Transformative Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsTransformative learningSocial justiceSociologyAdult educationAdult LearningCritical theoryPedagogyLearning theoryEconomic JusticeSocial theoryPsychologySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

This article is based on a critical ethnography study conducted in a continuing education department of a cégep in the Montreal area (Québec). The main objective of the research was to describe and analyze educational practices in this specific educational setting. To understand the conditions under which those practices are carried out, the study describes the life pathways of those adult students and the effect it has on them years after their graduation. The current paper presents some of the results obtained. Those results lead us to propose a theoretical foundation for transformative learning theory based on the concept of recognition. Moreover, this article invites scholars to study TVET and other education institutions as social justice institutions that must ensure the conditions of possibility for social justice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.525
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.018
Scholarly communication0.0070.003
Open science0.0030.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.355
Teacher spread0.342 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes2
Has abstractyes

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