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Record W2992401382 · doi:10.56105/cjsae.v27i3.3901

Wounded Learners Failed by Schooling: Symbolic Violence and Re-Engaging Low Income Adults

2015· article· en· W2992401382 on OpenAlexafffundvenueabout
Elizabeth A. Lange, Donna M. Chovanec, Trudy Cardinal, Tania Kajner, Nicole Smith Acuña

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of AlbertaSt. Francis Xavier University
FundersUniversity of Alberta
KeywordsHabitusDialecticSociologyMeritocracySocial exclusionSocial capitalIndignationPsychologyPedagogyCriminologySocial psychologyCultural capitalPublic relationsPolitical scienceSocial scienceLawEpistemology

Abstract

fetched live from OpenAlex

Using exploratory case study to assess the learning needs of low income populations in a Canadian city, one key finding was that the majority are wounded learners from their experiences in the schooling system. Compounded by various social and economic factors, these wounds represent various forms of violence, particularly symbolic violence that continually reproduces their marginality. Community adult educators have the opportunity to offer recognition of wounding and help learners re-story positive learning identities, rebuild learning capacities as well as social and intellectual capital, and transform a limiting habitus. Through a dialectic of indignation and “dreamkeeping”, they can both also assist learners in challenging meritocratic systems that require woundedness and failure rather than capability as a form of educational justice and create spaces for hope for learners who still dream of serving others and contributing back to their communities.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.888
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0200.012
Scholarly communication0.0060.004
Open science0.0020.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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

Citations9
Published2015
Admission routes4
Has abstractyes

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Same venueCanadian Journal for the Study of Adult EducationSame topicGlobal Educational Policies and ReformsFrench-language works237,207