Barriers to Education for the Marginalized Adult Learner
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".