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Record W2566273175 · doi:10.5206/cie-eci.v45i2.9293

Book Review: Social and Cultural Aspects of Language Learning in Study Abroad

2016· article· en· W2566273175 on OpenAlexaffvenue
Ronald Samuel Karl Schirm

Bibliographic record

VenueComparative and International Education · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVariety (cybernetics)Study abroadLanguage acquisitionSociologyPedagogyPsychologySocial scienceMathematics educationComputer science

Abstract

fetched live from OpenAlex

This paper reviews Social and Cultural Aspects of Language Learning in Study Abroad, edited by Celeste Kinginger (2013). This collection of papers showcases modern study abroad research, particularly what Coleman describes as the "whole-person" approach, in which study abroad participants are studied as complex individuals rather than as members of a larger homogenous group of students studying abroad. While there is a slight focus on both American study abroad participants and on learners of French studying in France, despite Kinginger and Coleman advocating for including a broader range of participant home countries and languages studied in the volume's introductory chapters, the contributing authors employ a variety of methodologies to study their participants' experiences and their language learning. This methodological breadth demonstrates the modern strengths of Study Abroad Research while simultaneously showing the myriad of future possibilities for future research in the field.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.005

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 head0.079
GPT teacher head0.415
Teacher spread0.336 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2016
Admission routes2
Has abstractyes

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