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Record W7033805498

Setting the scene for liminality: non-francophone French second language teachers' experience of process drama

2010· dissertation· en· W7033805498 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2010
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaFrenchEnglish language
DOInot available

Abstract

fetched live from OpenAlex

Non-francophone teachers of French as a second or additional language (FSL) often struggle with overwhelming oral anxiety, consequent low self-confidence, and workplace marginalisation. Core French or Basic French teachers, in particular, and their subjects have been undervalued (Carr, 2007; Lapkin, McFarlane, & Vandergrift, 2006; Richards, 2002). Moreover, recent national FSL research points to challenges in the areas of teacher attrition, lack of methodological and /or linguistic preparation, and lack of professional development opportunities in the FSL context (Karsenti, 2008; Salvatori, 2007). In this dissertation, I present the findings of my qualitative research study, which examined the conditions and experiences of non-francophone FSL teachers in Manitoba. To do so, I looked at the teachers' relationship with French and how French oral competency and oral language communicative confidence are intertwined to foster the teachers' sense of agency. The theoretical orientations underpinning this study draw from socio-constructivism (Bruner, 1985, 1990; Vygotsky, 1978), Feminist Standpoint theory (De Vault, 1999; Lather, 1991), Bakhtinian dialogism (Vitanova, 2005), and Institutional Ethnography (Smith, 1987, 2005). The lens I used to understand and interpret the voices and self-perceptions of the teachers is Process Drama, delivered in the form of professional development workshops. Process Drama (Heathcote, 1991) consists of thematically based improvisations, which are used to explore a topic and, at the same time, to invite self-exploration. It possesses unique characteristics, and has been successfully used in the second and foreign language classroom (Dicks & Le Blanc, 2009; Kao & O'Neill, 1998; Liu, 2002; Marshke, 2005). My particular focus, however, was on the Manitoba FSL teacher as a student, rather than as a teacher of language. Findings from this study indicate reduced oral anxiety as related to French language competency, reduced “performance

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.012
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.249
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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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