MétaCan
Menu
Back to cohort
Record W2965788705 · doi:10.4324/9781315665924-17

Giving and receiving life from Anishinaabe nibi inaakonigewin (our water law) research

2016· article· en· W2965788705 on OpenAlexaff
Aimée Craft

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCeremonyRelation (database)PsychologySociologyGender studiesDevelopmental psychologyLawPolitical scienceHistory

Abstract

fetched live from OpenAlex

Being a mother is a defining life role for Anishinaabe women. We are many other things but our role as mother is given to us directly by, and connects us to, Mother Earth. In ceremonies, we often go back to the relationship between mother and child to help us understand who we are as people and our purpose in life. One example is the sweat lodge that symbolizes the womb of a mother and the purification and new beginning that the ceremony can bring. From the Anishinaabemowin language we know that to be a mother is not only the role of a birth mother, but that of a mother’s sisters (a child’s aunts) as well. As mothers, aunties and close friends, we can be mothers to all of our children. For me, the research relating to water that I discuss in this chapter is likehaving and beginning to raise a child. It is what I consider to be a step in a lifelong learning, teaching, sharing and caring role in relation to water and the teachings that flow from it. Children are born of water. This water is carried by their mothers for the express purpose of creating and bringing life. We are all made up in large part of water and we need water in our daily lives to sustain our bodies and spirits. Our life comes from and depends on water. I analogize this research and the phases of its development to the coming to life of a child through conception, birth and what we learn as young children. Vine Deloria reminds us that our “cultures are rich with ways of gathering, discovering, and uncovering knowledge. They are as near as our dreams and as close as our relationships” (Deloria 1996, p. 182). The research methodology described in the context of this water law research tells us how to grow and learn together. This is not a methodology or research design that belongs to me, but rather is an evolving participant-designed project. This methodology was gifted to all of the participants (Elders, students, other participants and me) through the process of working together, sitting together in ceremony, and reflecting on our purpose in a way that reflects Anishinaabe ways of being that are both historic and contemporary.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0260.005

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 head0.052
GPT teacher head0.357
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

Citations21
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicPosthumanist Ethics and ActivismFrench-language works237,207