Yá sgóonwáan adátx'i neildáxh kha sgóondáxh hasdu eexh dasheeyí, kei kghak’é! Mamawiohpikihawasowin akwa awasisak kisaspin wecihawak wikiwahk akwa kiskinwahamakiwikamikohk kita mithopathin! Supporting First Nations Student Academic Success Through Improved Educator Efficacy
Bibliographic record
Abstract
Fifty years ago, Together Today for Our Children Tomorrow (1973) stated that Tawaw Education (pseudonym) has been failing to meet the academic needs of First Nations students from K-12. This ongoing issue is highlighted by both the Office of the Auditor General’s Reports (2009; 2019) and Yee’s (2021) Review of Inclusive and Special Education Report. This Organizational Improvement Plan (OIP) addresses the ongoing education issues First Nations people have endured for many years and provides guidance to support improved educator efficacy throughout the system. An Indigenous leadership approach is used to ensure authenticity to this work, highlighting the importance of focusing on community interests and confirming this work benefits everyone. There is focus on creating an inclusive system reflective of First Nations ways of knowing, doing, and being. This improvement plan presents a collaborative approach outlining the journey toward theory and practice necessary to ensure the well-being of First Nations learners and providing a more equitable education system. This initiative to integrate First Nations ways of knowing, doing, and being into everyday planning, teaching, and learning aligns with Tawaw Education’s vision. As communicated in the plan for change, learners and educators are at the centre of a powerful vision for a more inclusive, equitable, and flourishing learning environment at Tawaw Education. Supporting First Nations learners in feeling a sense of belonging in the education system requires culturally relevant curriculum, pedagogy, and assessments reflective of First Nations ways of knowing, doing, and being. Tawaw Education is taking promising steps toward decolonizing possibilities within the organization.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.013 |
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".