Investigating the Ontario FSL High School Curriculum: An Exploratory Case Study of Non-Native French-Speaking Teachers’ Cultural Practices
Bibliographic record
Abstract
Following a qualitative social constructivist research paradigm, this exploratory case examined how Ontario non-native French-speaking teachers approached French cultures with beginner level French as a second language (FSL) students of the high school Grade 9 Core French (CF) program. Ontario FSL educators often teach CF and students typically pursue CF in lieu of other FSL programs (Canadian Parents for French, 2017; Masson, 2018). Grade 9 is the final FSL course required for high school graduation (Masson, 2018; OME, 2014). CF students lack confidence speaking and interacting in French (Rehner, 2014) despite many years of language exposure (Masson, 2018) and often abandon FSL studies after Grade 9 (LANG, 2014). This inquiry investigated the cultural practices of ten Ontario CF Grade 9 non-native French-speaking educators from autumn 2018 to January 2019. The teachers participated in an online questionnaire, two semi-structured interviews, an online focus group, and shared cultural resources. Based on a theoretical framework that I developed, thematic analysis revealed that the teachers who recently travelled to French-speaking communities, and who maintained their French linguistic and cultural proficiencies, reflected more of the social constructivist orientation to pedagogy (Cummins, 2001, 2009; Cummins et al., 2007). Participants also modelled some elements of the neurolinguistic approach (Netten & Germain, 2012) to help students retain and reuse cultural content with growing confidence in oral communication. The teachers introduced French cultures using cuisine, music, travel, and ICT resources through CEFR-inspired practices (Council of Europe, 2001) in day-to-day practices. The participants were ambitious cultural learners and pedagogues, which supported the positive characteristics of Ontario non-native French-speaking teachers. Participants also experienced various challenges, such as ICT access issues, lack of teacher-training, and lack of student interaction with native French speakers. Therefore, the findings raised important funding and teacher-training considerations for cultural learning and interaction in Grade 9 CF.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".