International human rights education: an evaluation of treaty compliance in British Columbia's Kindergarten to Grade 12 Social Studies school curriculum
Bibliographic record
Abstract
In this thesis I probe into British Columbia’s (BC) Kindergarten to Grade 12 Social Studies curriculum to determine how adequately it adheres to Canada’s international treaty obligations. I give particular attention to the duties regarding dissemination of information about, through, and for human rights principles and norms that are contained within the United Nations (UN) 1989 Convention on the Rights of the Child (Convention) and the UN 2011 Declaration of Human Rights Education and Training (DHRET). To accomplish this, I first develop a compliance assessment tool that is based on international human rights legal standards. This tool is then used in a normative inquiry into BC’s current Social Studies curriculum to assess the extent to which its educational aim, and its conception of the learner, learning process, learning environment, teacher’s role, and evaluation satisfies the international human rights education law requirements that are articulated in the treaties that Canada has ratified. The knowledge that is generated from this investigation is of value to BC’s Ministry of Education and members of the public who are involved in BC’s curriculum development and revision, because it creates a benchmark from which to “take more active measures to systematically disseminate and promote” (UN, 2012, paragraph 25) knowledge about international human rights in BC’s schools.
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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 | 0.021 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".