Getting to the Heart of Cultural Safety in Unama’ki: Considering Kesultulinej (love).
Bibliographic record
Abstract
Reflecting upon my early knowledge landscapes, situated within the unceded Mi’kmaq territory of Unama’ki (Cape Breton, Nova Scotia), living the Peace & Friendship Treaty and the teachings of Mi’kmaw Elders, I contemplate the essential relationship with land and language, specifically, Kesultulinej (love as action) and Etuaptmumk (two-eyed seeing) to Cultural Safety. I recognize my position, privilege, and responsibility in teaching and learning about the contextual meanings of Cultural Safety, situated in specific Indigenous terrains and in relation with the land, across time, and relationships. Critical reflection on my story and experiences challenge me to consider why and how Maori nursing theorizations of Cultural Safety have been indoctrinated into the language of national nursing education by the Canadian Association of Schools of Nursing (CASN), Canadian Nurses Association (CNA) and most provincial nursing regulatory bodies; this is increasingly relevant as nursing education is progressively shaped by neoliberal and Indigenizing agendas. As I contemplate wrapping Cultural Safety with Kesultulinej, I see the potential to decolonize nursing. Mi’kmaw teachings of Etuaptmumk and Kesultulinej call forth responsibilities to act, and in doing so move us into a space of potential to resist the colonizing forces within nursing. In this moment I realize the interconnected meaning of being amidst these relationships that matter to me as a person and as a nurse; relationships that are marked by love, care and compassion.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.026 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| 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".