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Record W4415115017 · doi:10.36253/sd-15011

Naanaaba’amii: In the footsteps of others

2023· article· en· W4415115017 on OpenAlexaffabout
Maureen Matthews, Margaret Simmons, Myra Tait, Lorna A. Turnbull

Bibliographic record

VenueStoria delle Donne · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsAthabasca UniversityUniversity of Manitoba
Fundersnot available
KeywordsIndigenousColonialismPoliticsNarrativePerspective (graphical)Transition (genetics)

Abstract

fetched live from OpenAlex

This paper brings the stories of Anishinaabe women’s lives into conversation with a remarkably comprehensive Manitoba database that looks at the relationships between income, education, and health status, as well as engagement with social services, justice, and law enforcement institutions in the province. It considers the roles of women in navigating a transition from a rural/fur trade lifestyle in the mid-20th century to roles as heads of households in contemporary Manitoba. The stories and data offer both a narrative and a comparative perspective on Indigenous women in motion, following in the footsteps of others and taking lessons learned to venture on new paths and trajectories. Limes seems to be a useful way of talking about historical and contemporary transitions and exploring the way that women respond to opportunities that emerge within a colonial and often oppressive political environment. The approach taken here is one of co-creation between Anishinaabe women scholars and settler scholars. It is also undertaken in a bicultural space, where ideas formed and articulated in Anishinaabemowin (the Anishinaabe language) are presented in the language and form the bedrock of interpretation. In this way the paper explores the idea of being poised between two worlds or two or more cultures and languages and formulates responses to the condition of transition in Anishinaabe women’s terms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.240
Teacher spread0.193 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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