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Record W7057898883

Literacy for liberation: a Haitian case study

2011· dissertation· en· W7057898883 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101Gestational periodPretextDemotionDysgeusiaFusible alloy
DOInot available

Abstract

fetched live from OpenAlex

This qualitative study of an adult literacy program, Literacy for Liberation, operated by a non-governmental organization and serving a marginalized demographic in Haiti, considered the impact of a literacy program designed to enhance technical and critical literacy skills while promoting communal and individual change. Data, collected in five open-ended interviews and two observations, focused on the contextual, logistical, and beneficial aspects of the program. Results were analyzed using markers from Freire’s framework of critical pedagogy: humanization, situated literacy, dialogue and consciousness-raising, and transformation. Findings revealed limited economic, social, and communal benefits, and that replication of the program may be possible if certain steps are followed. Overall conclusions demonstrated that expanding literacy programs in this setting can facilitate social and economic progress for previously illiterate adults and future generations, particularly where structural inequality is evident. Final recommendations included comparison studies of other programs and longitudinal research of descending generations.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.005
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0020.003
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 head0.020
GPT teacher head0.257
Teacher spread0.237 · 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
Published2011
Admission routes1
Has abstractyes

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