Long Term Occasional Teaching and Mindfulness within the Pandemic
Bibliographic record
Abstract
This reflection focuses upon entry into the Ontario (Canada) teaching profession as a Long-Term Occasional (LTO) teacher who is a substitute for a permanent teacher on leave. The experiences within a grade four class during the Coronavirus pandemic are detailed herein. By implementing mindfulness into the curriculum, continuity and stability emerged for students, to reset every day during the Pandemic. In supporting the well-being of the whole student (which was initially sparked by COVID-19), its importance throughout all parts of learning was prominent. Navigating the role as an LTO (substitute) teacher during a Pandemic stimulated teachers and students, as learning how to teach in remote and in-person environments required a flexible and aware educator who was mindful. Support for the whole learner during a time was unprecedented and worrisome for many. As a result, mindfulness sessions supported students’ overall well-being and ensured that they were beginning their day with a clear, calm, and open mindset. This research has been cathartic and further developed a teaching philosophy that aligns itself with the needs for TFCL (Twenty-First Century Learners).
 Keywords: Long-Term Occasional Teaching, Mindfulness, Pandemic
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".