Second Language Pre-service Teachers as Learners: The Language Portfolio Project
Bibliographic record
Abstract
This article reports on a study of pre-service French immersion teachers who were required to compile second language (L2) portfolios as part of their professional development. Documents included a brief biography of the students' lives as speakers and learners of French; an action plan in which students assessed their L2 proficiency and set specific language learning goals; artefacts from both in-class and out-of-class learning experiences; and a final narrative entry commenting on the degree of success of their action plan. Volunteers participated in semi-structured audiotaped interviews and allowed their portfolios to be copied. Although the project was not as successful as initially anticipated, the process of compiling portfolios created a new space for L2 development. The portfolio became a tool mediating language learning activities. Furthermore, students showed that they were less capable of working autonomously than had been anticipated and that they required encouragement and support throughout the project.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".