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Record W1578769529 · doi:10.26522/brocked.v23i1.351

Shifting Currents: Science Technology Society and Environment in Northern Ontario Schools

2013· article· en· W1578769529 on OpenAlexaffvenueabout
Astrid Steele

Bibliographic record

VenueBrock Education Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsNipissing University
Fundersnot available
KeywordsCurriculumWork (physics)PedagogyEnvironmental educationSociologyResource (disambiguation)Christian ministryScience educationPolitical scienceEngineering

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.268
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2013
Admission routes3
Has abstractyes

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