MétaCan
Menu
Back to cohort
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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.003
Scholarly communication0.0030.000
Open science0.0030.001
Research integrity0.0000.000
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 head0.040
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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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