A phenomenological study of the elementary school experiences of Inuit children who choose to remain in school and graduate
Bibliographic record
Abstract
Six participants were interviewed in this phenomenological research study in order to hear their stories of their elementary school experiences that encouraged them to remain in school and graduate. These participants were carefully chosen based on a set criteria they all had in common including, but not limited to, being of Inuit heritage, being first language lnuktitut speakers, having lived their entire lives and received their education from kindergarten to grade 12 in the same Inuit community, and having successfully completed or nearly completed high school. Data was collected in two interviews with each individual participant. Interviews were carefully managed to keep any personal bias of the researcher from being revealed. The nature of these interviews was a form of guided conversation, eliciting participants' past educational experiences rather than following a direct question/answer approach. Once data from interviews was collected, it was analyzed and categorized into six broad themes: Relationships with Significant Adults, Relationships with Peers and Socialization, Recognizing Inuit Culture in School, Feeling Valued/Self Esteem, Safe and Welcoming Schools, and Having Future Goals and Aspirations. The information gathered in this study confirms that in Nunavut, Inuit students have the same basic needs and require the same support in school to be successful in life, as do their southern counterparts. Suggestions to inform and improve education in Nunavut are designed to reflect the Inuit perspective and worldview.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".