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Building Research Capacities in Adult Literacy

2003· article· en· W170883127 on OpenAlexaboutno aff
Tom Nesbit, Daniel Schugurensky, Darlene E. Clover

Bibliographic record

VenueInquiry Critical Thinking Across the Disciplines · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyMathematics educationComputer scienceSociologyPsychologyPedagogy

Abstract

fetched live from OpenAlex

There is growing interest in developing co-operation between adult literacy researchers and practitioners to further research skills and approaches. Canada’s National Literacy Secretariat has recently initiated a series of policy debates that suggested several possibilities: targeted research grants, research internships for practitioners, practical sabbaticals for researchers, support for networking between literacy researchers and practitioners, and joint seminars and workshops between researchers and practitioners. A common theme throughout these discussions is the need to develop critical thinking about both collaborative research and adult literacy. In this paper we discuss two collaborative initiatives between university-based researchers and adult literacy groups in the provinces of British Columbia and Ontario. Each project was based on the notion of “research circles” and specifically designed to enhance research capacity and critical thinking about literacy research.

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)0.157
metaresearch head score (Gemma)0.192
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.157
Threshold uncertainty score0.828

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1570.192
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.004
Science and technology studies0.0140.089
Scholarly communication0.0250.040
Open science0.0040.054
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.172
GPT teacher head0.548
Teacher spread0.376 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2003
Admission routes1
Has abstractyes

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