Shifting Currents: Science Technology Society and Environment in Northern Ontario Schools
Bibliographic record
Abstract
The focus is on the practices of secondary science teachers in rural, resource-extraction-based communities in the boreal region of northern Ontario, Canada. In 2008 the Ontario Ministry of Education mandated that science teaching and learning should bring to the forefront consideration of the impacts of science on society and environment, and include environmental education; topics that are particularly pertinent given the location(s) of the study in logging and mining towns. Three years after the introduction of that curriculum the researcher investigates the extent to which the mandated changes have entered teacher practice. The study consists of a survey, (n= 26), interviews (n=7) and a closer exploration of the collaboration between two teachers who work towards including social and environmental issues in their lessons. Findings provide evidence that secondary science teachers are shifting toward a stronger emphasis issues of society and environment in their practice, however teachers identified a number of concerns including an information gap, developing new lessons, program planning, assessment, and teaching in the North. A theoretical framework developed by Pedretti and Nazir was used in the analysis of the teacher collaboration. Recommendations are for professional development to specifically address the concerns raised by the teachers; as well, changes are suggested to the theoretical framework to include a stronger emphasis on environmental education.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".