Changing Curriculum: A Critical Inquiry into the Revision of the British Columbia Science Curriculum For Grades K-9
Bibliographic record
Abstract
In 2010 British Columbia’s Ministry of Education started the process of redesigning the provincial school curriculum, Kindergarten to Grade 12. Mandatory implementation of the new curriculum was set for the 2016/17 school year for Grades K-9, and 2017/18 for Grades 10-12. With a concerted emphasis on personalized learning and through the frame of a Know-Do-Understand curriculum model, the new curriculum aims to meet the needs of today’s learners, described as living in a technology-rich, fast-paced and ever-changing world, through a concept-based and competency-driven emphasis. This thesis is a critical analysis of the BC K-9 Science curriculum as written and published, looking specifically at how science is treated as a form of knowledge, its claimed presentation as a story, and on whether the intentions claimed by the designers are matched in the curriculum’s final form.
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 | 0.038 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.043 | 0.036 |
| Scholarly communication | 0.028 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.001 | 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".