Bibliographic record
Abstract
Despite decades of research, few advances have been made in achieving a deeper understanding of underlying issues related to Indigenous communities in Canada who report greater health disparities than their non-Indigenous counterparts. Immersion in an Indigenous worldview is essential to developing such understanding. In this chapter, background detail is given for the qualitative analysis of an article published in the International Journal of Circumpolar Health in 2014 (“Inuit parent perspectives on sexual health communication with adolescent children in Nunavut: ‘It’s kinda hard for me to try to find the words’”). The author notes she changed to a narrative analysis after coding (in HyperRESEARCH software) started feeling disingenuous. A text-based narrative technique and crafting (several photographs of the author’s beaded amauti are provided)—both of which originate from Inuit knowledge theory such as Unikkaaqatigiinniq—were applied to understand and interpret the shared/collected stories of Inuit families about sexual health. This chapter describes how the two processes allowed for layered and meaningful interpretations of the stories, which contributed to a greater overall understanding of this health phenomena. The value of talking about one’s research with other people is also noted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.063 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".