A study of indigenous English speakers in the standard English classroom
Bibliographic record
Abstract
This thesis explores the experience of dialect speakers of Indigenous English in the Standard English School. Indigenous English is a dialect of English spoken by many Aboriginal people in Canada; it is especially discernable in the Prairie Provinces, yet it is not widely recognized by the majority of the population. This classroom study was conducted in a semi-urban community in East Central Saskatchewan. The focus of the research was six children in a Grade 3 classroom, four of whom are First Nations and Indigenous English Speakers. The remaining two children are White and speakers of Standard English. The results of this study indicate that the First Nations children of this study speak a dialect of English that differs phonologically, morphologically, syntactically, and lexically from the Standard English spoken in Saskatchewan. These children are all below grade level in Language Arts and follow modified programs. They experience difficulty in phonics and spelling and are receiving additional support from classroom assistants, resource room teachers and speech pathologists. It would also appear that these children are experiencing institutional racism in a number of forms. Possible resolutions to the problems faced by these students may include teacher training and dialect awareness classes. This field has not been adequately explored and further research is needed to discover viable solutions to the issues experienced by dialect speakers of Indigenous English in the Standard English classroom.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".