Pre-Service Teachers’ Perceptions And Expectations of K-12 Schooling Locales in Saskatchewan
Bibliographic record
Abstract
The expectations which teachers hold affect their everyday decisions and, ultimately, the classroom, their instruction, the school, and the communities in which they serve. While there has been research into teachers’ expectations of locales of schooling in other parts of the world, there has been little research into the expectations that undergraduate education students hold towards specific locales of schooling within Saskatchewan. I conducted an exploratory phenomenographical study by interviewing four undergraduate students in the Faculty of Education at the University of Regina to learn more about their expectations and perceptions of band, rural, and urban locales of schooling in Saskatchewan. Participants thought most about their expectations of how the locales would affect their personal lives, professional anxieties, professional opportunities, relationships within the context of teaching, and the resources they were expecting to be available. Their knowledge of these locales was either through direct first-hand experience or anecdotally through friends and colleagues, rarely through their university program. Locales not directly accessible to the participants, often band, were most often learned about indirectly, for example, through friends or family members with direct experience. The four participants, regardless of prior education or experience, preferred to teach in urban schools first, rural schools second, and band schools third.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".