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The Rise and Fall of Adult Literacy: Policy Lessons from Canada

2020· article· en· W3006602309 on OpenAlexaffabout
Maren Elfert, Jude Walker

Bibliographic record

VenueEuropean Journal for Research on the Education and Learning of Adults · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLiteracyEmployabilityAdult literacyMainstreamingAdult educationPolitical scienceSociologyPedagogy

Abstract

fetched live from OpenAlex

There was a period of time, from the late 1980s until the early/mid-2000s, when interest in adult literacy in Canada was strong among the public, in the media, and with policymakers, and a policy window opened for the mainstreaming of literacy. Against this background, it is surprising that the Canadian literacy infrastructure was subsequently_x000D_ largely dismantled. Drawing on theories of policy formation, and recent and previous research, including interviews with key stakeholders, we argue that mainstreaming literacy has failed and explore the reasons for this failure. The paper is structured in three sections. First, we report on the construction of an adult literacy infrastructure in Canada over two 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. Second, we examine the reasons for the failure of the mainstreaming of literacy in Canada. We conclude with further reflections on the present situation in which adult literacy 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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.880

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0170.005
Scholarly communication0.0080.003
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.061
GPT teacher head0.428
Teacher spread0.367 · 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 designObservational
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

Citations15
Published2020
Admission routes2
Has abstractyes

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