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Record W3007950818 · doi:10.3390/genealogy4010021

Miskâsowin: Indigenous Science, Technology, and Society

2020· article· en· W3007950818 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGenealogy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTechnoscienceIndigenousSovereigntySociologyColonialismTraditional knowledgePoliticsEnvironmental ethicsSociology of scientific knowledgeEpistemologySocial scienceAnthropologyPolitical scienceLawEcologyPhilosophy

Abstract

fetched live from OpenAlex

Indigeneity has been a site of relationally produced knowledge deemed scientific and political. In this article, I offer an experimental description of Miskâsowin—an Ininiw/Cree theory of science, technology, and society. This methodological piece is part of an overall project that seeks to understand how changes in technoscience often correlate with changes in the relationships and biotechnologies that colonial nation-states and their citizenries, scientific fields and their researchers, and bioeconomies and their consumers use to form themselves through, in spite of, and (sometimes) as Indigenous peoples. Creating Indigenous theories of the technosciences that affect them is disruptive of colonial ontologies of knowledge and sovereignty. Miskâsowin is part of an emergent subfield of Indigenous Studies: Indigenous Science, Technology, and Society (I-STS). I use this framework to map partial connections whereby Cree concepts of tapwewin (truth-telling), miskâsowin (finding one’s core), and misewa (all that exists) resonate with relational academic theoretical frameworks including that of Pierre Bourdieu, Michel Foucault, and Aileen Moreton-Robinson. I do so in ways that are uniquely adapted to my (the researcher’s) relationships (and the genealogies that they are routed through) with genomic knowledge and indigeneity; with the scientific and policy fields in Canada (and beyond); and with my own research/er integrity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0090.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.295
Teacher spread0.278 · 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