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Record W2556542495

Also meine freundin sie kommt aus schwaben: Use of the German particle "also" in a study abroad context

2015· dissertation· de· W2556542495 on OpenAlexaboutno aff
Ronald Samuel Karl Schirm

Bibliographic record

VenueUWSpace (University of Waterloo) · 2015
Typedissertation
Languagede
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsGermanHumanitiesPolitical scienceArtPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

English abstract: Conversation is at the core of human interaction, and has long been studied. Upon analysis, conversation proves to be highly regular and organized, and governed by an array of unconscious practices (see Sidnell, 2010; Hutchby & Wooffitt, 1998). The field of Conversation Analysis (CA), by using recordings of everyday human interactions, seeks to uncover this set of practices; CA however, has been primarily focused on L1 speakers’ interactions, and the CA research for second language acquisition (SLA) has been mostly focused on foreign language classroom interactions (see Pekarek Doehler, 2013; Seedhouse, 2004). The current study investigates the interactions between L2 and L1 speakers of German, using CA, in order to expand research into study abroad contexts. Using recordings of four Canadian advanced learners of German studying abroad in Germany interacting with two German L1 speakers, I focus on their particle use in German. It is often argued that particles, among other pragmatic features, are too nuanced for foreign language learners to acquire to use them in a target-like manner purely through interacting in the L2. Therefore, researchers argue that they should be taught explicitly in the foreign language classroom (see Betz & Huth, 2014). I demonstrate, through an analysis of L2 speakers’ use of the German discourse particle also, that language learners use particles in interaction and, more importantly, that the learners’ particle use can be target-like. The current study also demonstrates that CA can be used to understand foreign language learners’ interactions in the same way that it is used to analyse L1 speakers’ interactions. Furthermore, CA can be applied to track how the ways in which learners interact in the L2 changes during study abroad, providing deeper insights into the effects of studying abroad. 
\nGerman abstract: Konversation steht im Zentrum menschlicher Interaktion. Die systematische Analyse dieser Interaktionen zeigt, dass konversationelle Interaktion in hohem Maße regelmäßig und organisiert ist, und dass sie durch eine Reihe interaktionaler Muster geregelt ist, derer die Sprecher sich größtenteils nicht bewusst sind (Sidnell, 2010; Hutchby & Wooffitt, 1998). Die Analyse von Aufnahmen alltäglicher Interaktionen mit konversationsanalytischen (CA) Mitteln hat als Ziel die Dokumentation dieser Muster, jedoch ist der Fokus dieser Forschung typischerweise die Interaktion zwischen muttersprachlichen Interaktionsteilnehmern (L1-Sprechern). Die Analyse von spontanen Interaktionen zwischen/von Sprachlernern (L2-Sprechern) ist bisher auf Klassenzimmerinteraktionen begrenzt (Pekarek Doehler, 2013). In dieser Arbeit verwende ich CA, um die Sprachverwendung von L2-Sprecher im deutschen Auslandsstudium zu analysieren. Ich analysiere Aufnahmen von Interaktionen zwischen vier kanadischen Deutschlernern und zwei Muttersprachlern. Dabei konzentriere ich mich auf die Verwendung deutscher Partikeln durch die L2-Sprecher. Partikeln haben primär pragmatische anstatt semantische Funktionen in der Interaktion, und alleiniger Kontakte mit der Zielsprache wird oft als unzureichend für das Erlernen dieser sprachlichen Elemente erachtet, und diese Elemente müssen deshalb in Sprachkursen explizit gelehrt werden (Betz & Huth, 2014). Ich zeige durch die Analyse der Sprachverwendung von L2-Sprechern, und im Besonderen der Verwendung der deutschen Diskurspartikel also, dass Fremdsprachlernende Partikeln in der Interaktion systematisch verwenden und dass die Verwendung der Partikeln also sich in bestimmten Kontexten mit der Verwendung der L1-Sprecher deckt. In bestimmten interaktionalen Kontexten zeigen sich aber auch deutliche Unterschiede. Diese Studie zeigt an, dass CA verwendet werden kann, um L2-Interaktionen zu analysieren. Im Study-Abroad-Kontext kann CA verwendet werden, um systematische Veränderungen in den Interaktionsmustern Fremdsprachlernender während eines Auslandsstudiums sichtbar zu machen. Eine Integration von CA-Methodik in die Study-Abroad-Forschung kann zum besseren Verständnis der Erfahrungen Studierender im Auslandstudium beitragen.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.297
Teacher spread0.237 · 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 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
Published2015
Admission routes1
Has abstractyes

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