A Year of Living Pedagically: the First-Year Teaching Experience of Exchange Students
Bibliographic record
Abstract
Based on three years of experience in a Teacher Education Reciprocal Learning Program, which is a part of a SSHRC Partnership Grant Project between Canada and China, this paper will explore the relationship between international exchange programs and the transition from teacher candidates to professional educators through to the end of their first year of teaching. The paper will apply the principles of narrative inquiry, paying particular attention to the ways in which participants structure coherence into their stories of their early education, the disruption of their ideas about learning while abroad, and their integration back into Chinese school systems. The paper will present a qualitative analysis of data derived from extensive interviews and electronic conversations with 3 students in Chongqing, one student in Fuzhou and 5 students in Chengdu, field notes and journal entries. All of the participants completed their first year of teaching during 2015-2016, and the paper will report on the first phase of a projected three year timeline for classroom observations ending with the 2018-19 year.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.009 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".