Fostering Knowledge-Building Communities to Advance Epistemic Justice in Schools
Bibliographic record
Abstract
Indigenous Peoples are the Original Peoples of this land who have historical continuity with pre-colonial and/or pre-settler societies.They are self-determining Nations with inherent inalienable rights, laws and institutions as outlined by their respective Nations and within their lands.In the exercise of these rights Indigenous Peoples will be free from harassment and discrimination of any kind.Halton District School Board (HDSB) is committed to reconciliation by protecting and upholding Inherent, Indigenous and Human Rights as outlined by the Truth and Reconciliation Commission (TRC) Calls to Action, the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), the Ontario Human Rights Code, and the Canadian Charter of Rights and Freedoms.The Halton District School Board (HDSB) understands the need to align all Board policies, practice(s) and procedure(s) to ensure the protection of Indigenous students, staff and families. Intended PurposeThe purpose of this policy is to support anti-colonial efforts across the HDSB.It is to be used to critically analyze, examine and address; existing board structures, processes, policies and programs that are not in alignment with Inherent, Indigenous and Human Rights.This policy was created in consultation with Inherent Rights Holders, Indigenous Academics, Indigenous Education Department, Indigenous Education Advisory Council and in collaboration with the HDSB Human Rights Advisory Officer and educators.The purpose is to examine how the Board can promote, protect and uphold Indigenous Rights and support Indigenous Education to improve the experience of all Indigenous Peoples in the HDSB.
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 | 0.018 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.023 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".