Reflections on School Engagement: An Eco-Systemic Review of the Cree School Board’s Experience
Bibliographic record
Abstract
The parameters are readily interesting: The Cree School Board experience over the past 25 years represents one of the first occurrences worldwide of a society having globally acknowledged that a curriculum, as a whole, did not necessarily fit a specific group, rather than the individuals not performing within a curriculum. As such, this represents a characteristically eco-systemic experiment where a move has been made from the simple—and not-so-unusual observation of poor school performance from a community as a whole—to the conclusion that a curriculum was poorly matched to the group it was set to serve. This assessment has led most notably to the adoption of Cree as the language of instruction in order to increase performance. Statistics for the Cree School Board (CSB), however, are not showing convincing signs of improvement and Cree parents appear increasingly divided in their assessment of how the curriculum now serves their children. The purpose of this article is to throw some light on factors that may explain the difficulties Cree students are facing within school in its present format. The highly topical aspect of this assessment and review is that the characteristics that supposedly make some Cree children difficult to teach in a Western style classroom are attributes often assimilated to children with Social, Emotional, and Behavioural Difficulties (SEBD) in mainstream schools: restlessness, inability to stay indoors, short attention span, rejection of classroom etiquette, and rules. The study suggest that, far from being distinct and dependent on variables that are unique, outcomes such as those recorded in Cree schools, highlight challenges in student engagement encountered by many school environments in the 21st century, particularly inner city schools. Keywords: Cree Nations; eco-systemic analysis; Native education; Social, Emotional, and Behavioural Difficulties (SEBD)
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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 | 0.032 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.020 | 0.014 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 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".