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Record W3087923854 · doi:10.1177/1177180120954441

“The work of a leader is to carry the bones of the people”: exploring female-led articulation of Indigenous knowledge in an urban setting

2020· article· en· W3087923854 on OpenAlexaffabout
Sylvia Maracle, Aleksandra Bergier, Kim Anderson, Ryan Neepin

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsInstitute for Christian StudiesUniversity of TorontoUniversity of GuelphQueen's University
Fundersnot available
KeywordsIndigenousMohawkArticulation (sociology)Identity (music)Corporate governanceSociologyPolitical scienceGender studiesPublic relationsManagementLibrary scienceLaw

Abstract

fetched live from OpenAlex

Although the activism and historic contributions of Indigenous female leaders to urban Indigenous community development across Turtle Island are recognized, there remains a dearth in the literature regarding the specific mechanisms that enabled Indigenous women to successfully articulate cultural knowledge and inform their management styles by traditional ways. The article explores some of the contributions of female leadership to the governance and program design of a large, culture-based urban Indigenous non-governmental organization in Canada—the Ontario Federation of Indigenous Friendship Centres (OFIFC). We examine how the OFIFC’s Executive Director Sylvia Maracle (Skonaganleh:ra) has applied leadership principles grounded in Indigenous knowledge of her paternal grandmother and a Mohawk matriarch—Mary Ellen Maracle—to address specific challenges in urban Indigenous governance. We argue that the female-led articulation of Indigenous knowledge in organizational operations contributed to creating a community of service that respects distinct expressions of cultural and gender identity.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.056
GPT teacher head0.344
Teacher spread0.288 · 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.

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

Citations12
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicIndigenous Health, Education, and RightsFrench-language works237,207