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Record W7007845449

Affordances and constraints of the science curriculum for developing culturally diverse science-literate identities

2024· dissertation· en· W7007845449 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCurriculumAffordanceMainstreamScience educationInclusion (mineral)Sociocultural evolutionNormativeCurriculum developmentCultural diversity
DOInot available

Abstract

fetched live from OpenAlex

Manitoba schools are populated with students from diverse cultural backgrounds. Manitoba’s K to 12 Education Action Plan includes the goal to promote the well-being and inclusion of all students. Hence, it is important to examine the role of curricular documents in including students from all cultural backgrounds. Considering the richly diverse science classrooms in Manitoba and the curriculum vision of forming scientifically literate students, my research asks the following question: What are the affordances and constraints of the Senior 1 Science: A Foundation for Implementation curriculum document for the development of science-literate identities inclusive of diverse cultural backgrounds? I conducted a Critical Discourse Analysis (CDA) of the curriculum document, using the theoretical lenses of critical multicultural education and sociocultural studies. The findings of this study point to the need for a science curricular Discourse that problematizes the taken-for-granted assumption that mainstream science is acultural and universal in its discourses and practices, making evident and challenging the hegemonic colonial and Eurocentric Discourses that are normative in the science curriculum. The grade nine science curriculum document presents affordances to culturally inclusive science education, but many constraints to this goal are still in place. These results may contribute to a more inclusive science curriculum and practice in Manitoba and beyond.

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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.006
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2024
Admission routes2
Has abstractyes

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