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Record W2756027766 · doi:10.15402/esj.v2i1.203

Working Together with South Saami Birth Stories – A Collaboration Between a Saami Midwife and a Saami Researcher

2017· article· en· W2756027766 on OpenAlexvenueno aff
Åsa Virdi Kroik, Jonhild Joma

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)NorwegianSociologyColonialismWork (physics)Perspective (graphical)ChildbirthGender studiesPolitical scienceHistoryVisual artsLawEcologyArchaeology

Abstract

fetched live from OpenAlex

This paper presents some results from a community-based project among local South Saami in the Norwegian and Swedish part of Saepmie. I was co-coordinating a two-year community-sponsored project in the community (Røyrvik) in which a local South Saami midwife documented stories from elder Saami about childbirth in earlier times, both from their own memories and from stories they knew. Her work became an article in a book, and the project helped us to understand much more about childbirth and general living conditions for Saami one to three generations ago in this area. As a PhD candidate, I have complemented her work with a theoretical framework (Indigenous Research Methods, colonial perspective), a historical analysis, and a contemporary context. Apart from presenting an example of stories she was given and how they can give us new knowledge. But I will focus on the meanings, processes, theories and practices of engaged Indigenous community research. I will describe our different methods and the benefit of working together and will point out how it will further research.

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 imitation

Not 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.

metaresearch head score (Codex)0.763
metaresearch head score (Gemma)0.536
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7630.536
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.8460.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.634
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
GPT teacher head0.480
Teacher spread0.202 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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