MétaCan
Menu
Back to cohort
Record W7021225294

nutsamaat uy’skwuluwun: Coast Salish pedagogy in higher education

2022· dissertation· en· W7021225294 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2022
Typedissertation
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)MainlandMainland ChinaTheme (computing)Higher educationNarrativeWest coast
DOInot available

Abstract

fetched live from OpenAlex

This study explores Coast Salish s’ulxwe:n (Elders)-in-residence and Coast Salish xwulmuxw (First Nation) Professors’ application of xwulmuxw (First Nation) pedagogy specifically from southeast Vancouver Island, Coast Salish speaking people in higher education using nutsamaat uy’skwuluwun meaning to work together as one, with a good heart and good mind to obtain a goal. This study used interviews to gather narratives of eight Elders and three professors who use Coast Salish pedagogy in higher education. Participants are members of the Snuneymuxw, Quw'utsun, Penelakut, Lyackson, Tsawout, Tsartlip, and Songhees First Nations of southeast Vancouver Island First Nations and one participant from Katzie First Nation on the lower mainland of British Columbia. The implication of this research is significant because Coast Salish pedagogy has very little research by an authentic Coast Salish researcher and is not fully documented. My analysis of the interviews offers insight on ways the participants apply Coast Salish pedagogy in higher education. I found many themes that the participants use while teaching Coast Salish pedagogy in higher education. The three main common themes were 1) respect, 2) uy’skwuluwun and 3) nutsamaat uy’skwuluwun. Respect was a term that was central to the many teachings and themes shared by the participants. Second, uy’skwuluwun was also a term woven through many of the Coast Salish teachings, meaning to have a strong heart and mind. Lastly, the term nutsamaat uy’skwuluwun was a common theme that kept arising among many of the participants, meaning to we work together as one, with a good heart to obtain a goal. It is a term, that weaves throughout all the common themes and pertains to the educator, students and non-Indigenous peoples that learn and work with Indigenous peoples in higher education. The analysis offers insight on what would the present Coast Salish Elders-in-residence and xwulmuxw professors like future Coast Salish Elders-in-residence and Coast Salish professors to continue to teach in higher education. Some of the main topics the participants would like future Elders and professors to instruct on are; protocol, spirituality, language, experiential learning, and for the university to hire more Elders-in-residence and Coast Salish professors. The analysis offers insight on why it is important to teach Coast Salish pedagogy in higher education. Participants shared that they thought it was important to teach Coast Salish pedagogy in higher education because Indigenous and non-Indigenous people need to understand Coast Salish ways of doing, understand the history and impacts of colonization, and the local languages of the area. By doing so, Coast Salish Elders and professors create space to further instruct Coast Salish pedagogy for all students, and work together as one with a good heart and good mind to obtain a goal, that is to create a better society for all mustimmuxw, in higher education regarding First Nations history, culture and language of the local area.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.002
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.027
GPT teacher head0.331
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueUVic’s Research and Learning Repository (University of Victoria)Same topicIron Metabolism and DisordersFrench-language works237,207