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Record W4403260309 · doi:10.47862/apples.146459

(Im)mobility, literacies and second language education for adults and adolescents with limited previous education

2024· article· en· W4403260309 on OpenAlexaboutno aff
Annika Norlund Shaswar, Birgitta Ljung Egeland, Jenny Rosén, Åsa Wedin

Bibliographic record

VenueApples - Journal of Applied Language Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation in Diverse Contexts
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySociologyMathematics educationPedagogy

Abstract

fetched live from OpenAlex

This special issue draws attention to literacy and basic literacy education for adult and adolescent migrants with limited or no previous school background, who are learning a second language. This introduction addresses issues closely related to literacy education for this group of migrants, namely human mobility and immobility, including both horizontal (geographical and spatial) and vertical (social) mobility, as well as the interrelation between the two. Whereas some people’s mobility is considered a threat that must be regulated and restricted, other people’s mobility is encouraged. While mobility and diversity have always been intrinsic aspects of human societies, it can be concluded that social, economic and technological changes have intensified migration, the movement of artifacts and communication between people over vast distances. As mobility and diversity have increased, theoretical perspectives and research in applied linguistics and education have emerged. In this special issue, we bring together seven studies of second language and literacy education for adolescent and adult second language learners in different contexts, illustrating both similarities and differences between educational domains. The studies were conducted in Canada, Norway and Sweden. We are happy to say that the authors’ efforts have resulted in a body of work that contributes to research on literacies and literacy education for adults and adolescents with limited previous education. It is also our hope that the articles will inspire additional research in the area in the coming years.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.013
GPT teacher head0.338
Teacher spread0.325 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueApples - Journal of Applied Language StudiesSame topicEducation in Diverse ContextsFrench-language works237,207