Levinas, Leviticus, & Language: A Case Study Exploring ACSI Maritime Teacher Challenges of Practice Due to Increasing ESL Enrollment
Bibliographic record
Abstract
The purpose of this case study was to explain the perceived challenges of practice due to increasing enrollment of English Language Learners (ELLs) for ACSI teachers in the Canadian Maritimes. The theory guiding this study was ethics as first philosophy by Levinas (1981). Levinas’ theory aided in examining the ethical, relational, and linguistic challenges teachers experienced teaching ELLs. The central research question guiding this study was: what are the perceived challenges of practice K-12 ACSI Maritime school teachers face due to increasing ELL enrollment? Data was collected through pre-interview journals, semi-structured face-to-face interviews, and observations. Data analysis included transcriptions, documents, and field notes. Member checks were employed (Creswell, 2013), as was coding, which was analyzed using ATLAS.ti. Themes and outliers emerged and were examined (Yin, 2009). The research had implications for ACSI administrators and teachers who are challenged by increasing ELL enrollment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".