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Record W2728515049 · doi:10.1075/sar.2.1.01ben

Sleeping with strangers

2017· article· en· W2728515049 on OpenAlexaboutno aff
Phil Benson

Bibliographic record

VenueStudy Abroad Research in Second Language Acquisition and International Education · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)NarrativePerspective (graphical)PsychologySocial psychologyDevelopmental psychologyArtVisual artsLiterature

Abstract

fetched live from OpenAlex

Abstract Based on narratives from Hong Kong students on one-semester programmes at universities in Australia, Britain and Canada, this study focused on the emotional charge of expectations and day-to-day realities of homestay. It showed how, for many of the students, this emotional charge was related to the adoption of imagined identities as family members within the homestay. It also showed how a corresponding sense of inclusion or exclusion could arise from recognition or non-recognition of these imagined identities. The students’ experiences of homestay were often shaped by an expectation that a degree of emotional intensity within a family environment would lead to a successful language learning experience. Paradoxically, emotionally disturbing experiences could also contribute to a positive overall experience from the student’s perspective, if they led to a stronger sense of emotional inclusion. The experience was least satisfying overall in homestays where students were unable to feel this sense of inclusion.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.084
GPT teacher head0.439
Teacher spread0.355 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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