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Record W6927279198 · doi:10.3278/6004672w033

Level 3, Bureaucrats, and Stigmatization: Why 'Mainstreaming' Literacy Failed in Canada

2018· other· en· W6927279198 on OpenAlexfundaboutno aff

Bibliographic record

VenueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2018
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNucleofectionHyporeflexiaPretextLiquationSubpoenaTSG101Demotion

Abstract

fetched live from OpenAlex

The article examines why the promise of 'mainstreaming' (adult) literacy in Canada was never realized, although there was a period of time, from the late 1980s until the early/mid-2000s, when interest in literacy was strong among the public, in the media, and with policy-makers. Based on recent and previous research, including interviews with key stakeholders, we argue that mainstreaming literacy has failed and explore the reasons for this failure. The chapter is structured in three sections. In the first, we recount the history of literacy in Canada over three phases: i) the period from the 1970s up until the launch of the International Adult Literacy Survey (IALS) in 1994; ii) the story of IALS and changes occurring up until around 2005, and, iii) the period from around 2006, which marked a clear policy shift in the approach to literacy. The second section examines the reasons for the failure of the mainstreaming of literacy in Canada. We conclude by reflecting on the present situation of adult literacy, which has been largely reduced to employability skills which are under-supported.

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)0.014
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 score0.240
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0380.019
Scholarly communication0.0100.003
Open science0.0020.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.040
GPT teacher head0.371
Teacher spread0.331 · 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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)Same topicInfections and bacterial resistanceFrench-language works237,207