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Record W2768193588

Voice of Practice: Building Knowledge in Adult Literacy

2017· dissertation· en· W2768193588 on OpenAlexaboutno aff
Wendy Seys

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyCertificationQualitative researchNarrativePedagogyBody of knowledgeVariety (cybernetics)CreativityBridging (networking)Public relationsKnowledge baseSociologyKnowledge managementPolitical sciencePsychologySocial scienceComputer scienceSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

There is no single entry point, body of knowledge, or certification that prepares or qualifies someone to work in the field of adult literacy in the non-formal setting. Practitioners enter the field with a rich variety of education and experience, and cultivate knowledge in their practice; however, this knowledge (and voice) is notably absent from the “official” knowledge. In order to address the identified gap, this exploratory qualitative research study aims to understand the experiences of literacy practitioners who work in the community-based sector in building knowledge for their practice. Further, it aims to explore how the collective knowledge and voice of literacy practitioners can be reflected in the “official” knowledge base, and in the policy-making process. This study is based on narratives from six practitioners who work in the non-formal adult literacy field in Quebec. The themes that emerged from the interviews speak to community, connection and creativity. These are key elements to bridging gaps between theory and practice. Emerging themes from the interviews are presented in detail, and used as the basis for recommendations and future directions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.396
Teacher spread0.370 · 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.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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