L2 Learners of Japanese: Socialization of Private Assessments in a Host Family Setting
Bibliographic record
Abstract
Abstract The present study uses audio- and video-recorded naturally occurring interactions to examine how five high-intermediate second language learners of Japanese are socialized to participate in assessment activities in interactions with their host parents during study abroad. Through direct participation as well as peripheral exposure to host parents’ models of private assessments, students demonstrated increasing ability to shift to the plain form of speech to index a private, off-stage stance. Specifically, the analysis reveals how models and scaffolding in the form of co-construction, recasts, and repetition sequences socialized students to: (a) shift from the formal to the plain form for private assessments and (b) use more culturally and semantically appropriate assessment descriptors. The data also show that the students’ socialization experiences differed in terms of their exposure to assessments in both the formal and the plain form, and how often they participated in assessments on repeated topics. Ultimately, the study shows that second language acquisition through socialization, namely through interactions with host family members, facilitated the students’ linguistic, social, and cultural competence. Résumé La présente étude utilise des enregistrements audio et vidéo d’interactions qui se produisent naturellement pour examiner comment cinq apprenants du Japonais langue seconde à un haut niveau de l’intermédiaire sont socialisés à participer dans des activités d’évaluation avec leurs parents hôtes lors d’un séjour d’études à l’étranger. Par de la participation directe ainsi que de l’exposition périphérique aux modèles d’évaluations privées des parents hôtes, les étudiants ont démontré une habileté accrue de changer d’une forme de discours simple pour répertorier une position privée, en coulisse. Plus spécifiquement, cette analyse révèle comment le modelage et l’étayage sous la forme de co-constructions, de reformulations et de séquences répétitives ont socialisé les étudiants à : (a) changer du discours formel à une forme simple de discours pour les évaluations privées et (b) utiliser plus de descripteurs d’évaluation appropriés culturellement et sémantiquement. Les données montrent aussi que les expériences de socialisation des étudiants différaient quant à l’exposition aux évaluations dans les formes formelles et simples, ainsi qu’à la fréquence de leur participation à des évaluations sur des sujets répétés. Ultimement, cette étude démontre que l’acquisition de la langue seconde par le biais de la socialisation, notamment par les interactions avec les membres de la famille hôtesse, ont contribué aux compétences linguistiques, sociales et culturelles des étudiants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".