Learning, discerning and yearning: the development of language proficiency of non-native speaker French as a second language teachers in Ontario
Bibliographic record
Abstract
This qualitative research study relied on individual interviews with 15 participants and a group interview involving four of the 15 participants to explore the French language proficiency of non-native speaker teachers of French as a second language (FSL) and the relationship among their perceptions of their proficiency in French, their teaching practice, and the development of their proficiency in French. A number of themes emerged during the analysis of the data from the interviews and group interview: the native speaker ideal, the notion of judgment of one's level of proficiency by native and expert speakers, the value placed on FSL and its impact on a teacher's motivation, the notion of credibility as a speaker and teacher of FSL, the role that confidence and comfort play in the choice of language proficiency maintenance strategies, differentiation of required level of proficiency according to teaching context, the non-native speaker teacher's understanding of an L2 learner's challenges, and the importance of interaction with native speakers and time spent in the target language milieu as a means of enhancing proficiency. The notions of communities of practice, legitimate peripheral participation, and the zone of proximal development served as theoretical underpinnings for the interpretation of the data. Findings from the study suggest that FSL teachers need an opportunity to openly discuss their anxieties and insecurities regarding their language proficiency. In addition the findings suggest that it would be beneficial to develop a definition of the required proficiency of an FSL teacher rather than relying on the standard of the native speaker. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".