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Record W4223611556 · doi:10.1177/14779714221087277

Transforming lives through a literacy program: An exploration of adult learners’ experiences

2022· article· en· W4223611556 on OpenAlexaboutno aff
Bo Klauth, Regina L. Garza Mitchell

Bibliographic record

VenueJournal of Adult and Continuing Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFriendshipLiteracyAdult educationQuarter (Canadian coin)PedagogyPsychological interventionAdult literacyEducational attainmentAdult LearningMedical educationMathematics educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Nearly one-quarter of American adults have low-level literacy skills. Existing research provides a great deal of quantitative information about skill levels and attainment, but little information exists that highlights the contextualized experiences of adult learners. In this phenomenological study, we explored individual adult learners’ experiences in a community-based literacy program. A purposive sample of eight adult learners participated in semi-structured interviews. The study shows that the tutors’ caring and understanding attitude towards the learners, friendship relationships between the tutors and learners, and the tutors’ use of individualized interventions for their learners were vital in shaping their positive learning experience. The study also highlights how the learners’ motivation and support system played in helping them persist in the program. The literacy program transformed their lives and meant “a chance” for making a change.

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)0.007
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 score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0040.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.406
Teacher spread0.375 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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