Self-esteem and Cultural Identity in Aboriginal Language Immersion Kindergarteners
Bibliographic record
Abstract
In gauging the success of Aboriginal language immersion education, the focus is often placed on measuring language acquisition and academic achievement. Although useful, these metrics only tell part of the story; to achieve real school success, it is also vital to develop high personal self-esteem that results in a positive concept of oneself as a learner, and high collective self-esteem, or attitude toward one’s heritage, family, community, and school. This article describes the impact of Anishinaabemowin (Ojibwe) immersion education on the personal and collective self-esteem of kindergarteners, and discusses their concept of ethno-cultural identity, as compared to previously studied cohorts of Inuit learners in immersion and mainstream language schools. The results give important insights into not only the self-esteem of children in this immersion school as part of a measure of its overall success, but also the school experiences of Aboriginal children in different cultural, geographic, and educational contexts.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".