Longing to Belong: An Examination of the Connection Between Language and Belonging in a First Nations Community
Bibliographic record
Abstract
The intent of this thesis is to outline the ways in which language can create an enhanced sense of belonging amongst a First Nations Community in Vancouver’s Lower Mainland. Due to colonization, a vast amount of First Nations Communities have not only lost a connection to their languages, but many languages are now extinct. Further, there is a lack of research within this field. It is proposed in this thesis that the integration of First Nations Language, specifically in a school setting has a positive effect on First Nations children. This thesis is an attempt at being able to display the necessary connection between language and belonging, whilst advocating for future research within this field. A proposed study is also included to further depict the ways in which research could move forward in understanding the connection between language and belonging within this indigenous population. Due to the recent political agendas of the Truth and Reconciliation Commission (Truth and Reconciliation Commission of Canada, 2015) this research is pertinent to counselors, teachers, academics, and Canadians.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".