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Record W4220853715 · doi:10.37213/cjal.2022.31339

Review of Guardado, M. (2018). Discourse, ideology and heritage language socialization: Micro and macro perspectives. Walter de Gruyter, pp. 283.

2022· article· en· W4220853715 on OpenAlexaffvenueabout
Ava Becker-Zayas

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIdeologySocializationMacroSociologyHumanitiesLinguisticsPolitical scienceSocial scienceArtPhilosophyComputer science

Abstract

fetched live from OpenAlex

In his first single-authored book, Discourse, ideology and heritage language socialization: Micro and macro perspectives, Martin Guardado re-examines the body of knowledge he has generated on HL development in Canada over the past 20 years in order to continue important conversations about how to fruitfully examine this complex phenomenon from various theoretical and methodological perspectives. In line with the majority of HL researchers, his interest in HL development is rooted in his belief that heritage languages are essential "tools for language minority parents to socialize their children into value systems, which subsequently aid in their integration insofar as a family united by a common language and culture is more resilient in times of challenge or adversity" (p. 15). A tireless scholar, educator, and HL development advocate, in this book, Guardado provides a thoughtful reflection on the history of the field itself, a thorough analysis of extracts from his own dataset, and stimulating directions for the field to take, particularly in Canada.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes3
Has abstractyes

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