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Record W1486653018 · doi:10.11575/ajer.v57i1.55454

Barriers to Education for the Marginalized Adult Learner

2011· article· en· W1486653018 on OpenAlexaff
Sarah McQueary Flynn, Jason Brown, Andrew Johnson, Susan Rodger

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsHumanitiesSociologyPsychologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This qualitative study examines barriers to adult education by the marginalized adult learner. We adopted an inclusive approach by interviewing potential adult learners who had not participated in adult education programs due to illiteracy. Five overlapping themes related to barriers emerged and were categorized as: family values and responsibilities (i.e., cultural); the emotional effect of family poverty on participants’ lives (i.e., anger at the welfare system); disrupted school and learning experiences (i.e., multiple school changes); social exclusion and personal challenges (i.e., marginalization due to race, class); and turning points in participants’ education and hopes for the future (i.e., positive role models). Cette étude qualitative examine les obstacles à l'éducation pour adultes auxquels font face les adultes marginalisés. Nous avons adopté une approche inclusive en interviewant des adultes ayant pu participer à des programmes d'éducation pour adulte, mais qui ne l'avaient pas fait parce qu'ils étaient analphabètes. Il en a découlé cinq thèmes qui se chevauchent et qui sont liés aux obstacles. On les a catégorisés ainsi: les valeurs et responsabilités familiales (c.-à-d. culturelles); l'effet affectif de la pauvreté de la famille sur la vie des participants (par ex. la colère contre le système d'aide sociale); les expériences scolaires perturbées (c.-à-d. le changement d'école à de multiples reprises); l'exclusion sociale et des défis personnels; et les tournants décisifs dans l'éducation des participants et leurs espoirs pour l'avenir (c.-à-d. les modèles de rôle positifs).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.161
GPT teacher head0.384
Teacher spread0.222 · 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 designObservational
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

Citations20
Published2011
Admission routes1
Has abstractyes

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