Dim guxws dibakwi’mhl k’uba tk’ihlkw (Bringing Our Children Home)
Bibliographic record
Abstract
For Indigenous leaders in British Columbia, the over-representation of children in the child welfare system, is a longstanding issue. K’uba Wilksihlkw Society (KWS) is an Indigenous-led non-profit delegated Aboriginal agency (DAA) operating under the Child, Family, and Community Services Act (CFCSA) in British Columbia, whom place Indigenous culture at the centre of its child and family programming and service delivery. In January 2020, Canada passed Bill C-92, affirming and recognizing Indigenous peoples' right to exercise full jurisdiction over child and family services. Efforts by KWS to pursue a jurisdictional readiness framework under Bill C-92 require collaboration with Indigenous communities to develop culturally appropriate solutions and long-term reform. This Dissertation in Practice (DiP) is timely as it centres on the challenges faced by KWS in effectively communicating and engaging with the Indigenous communities they serve regarding the shared vision and mission to support Indigenous child welfare jurisdiction under Bill C-92 over the past three years. Two leadership approaches inform this DiP: first, the Indigenous educational leadership theory, and second, authentic leadership through an Indigenous lens. The change implementation plan of this DiP utilizes a decolonized change management framework inspired by the Gitksen worldview of using the four seasons called the Gitksen seasonal approach (GSA). Additionally, this DiP presents plans for implementation, communication, and monitoring and evaluation to support the change management process.\nKeywords: Indigenous educational leadership, authentic leadership from an Indigenous lens, Indigenous communities, change path model, Bill C-92, Gitksen
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.249 | 0.053 |
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".