Duty and Service: Life and Career of a Tamil Teacher of English in Sri Lanka
Bibliographic record
Abstract
This article discusses the life and career of a Tamil teacher of English working in the government education system in northern Sri Lanka. Based on data gathered in an extended life history interview, the article explores the teacher's own experiences of schooling, his reasons for entering teaching as a profession, his professional training, and aspects of his working life in areas fought over by government and LTTE (Liberation Tigers of Tamil Eelam) forces. The teacher's narrative is contextualized within the history of the ethnic conflict in Sri Lanka between the majority Sinhalese and minority Tamils and aims to shed some light on how an individual finds the motivation to continue to work in a situation of extreme personal danger and, further, how he positions himself within his community as a teacher of a foreign language which might be seen as an irrelevance to students in his context. Though the limitations of case studies are recognized, as well as the particularly distressing conditions of life and work for this teacher, the article nevertheless contends that his story will contribute to extending the knowledge base of TESOL as a discipline by providing space for a voice from a peripheral community to be heard.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".