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Record W2561958838 · doi:10.3138/cjh.49.2.298

<i>Centering Anishinaabeg Studies: Understanding the World through Stories</i>, edited by Jill Doerfler, Niigaanwewidam James Sinclair, and Heidi Kiiwetinepinesiik Stark

2014· article· en· W2561958838 on OpenAlexaffvenueabout
Brittany Luby

Bibliographic record

VenueJournal of History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsLaurentian University
Fundersnot available
KeywordsArtSociologyArt historyMedia studies

Abstract

fetched live from OpenAlex

Centering Anishinaabeg Studies: Understanding World through Stories, edited by Jill Doerfler, Niigaanwewidam James Sinclair, and Heidi Kiiwetinepinesiik Stark. East Lansing, Michigan State University Press; Winnipeg, University of Manitoba Press, 2013. xxvii, 417 pp. $29.95 Cdn (paper). Centering Anishinaabeg Studies: Understanding World through Stories, collection edited by Jill Doerfler, Niigaanwewidam James Sinclair, and Heidi Kiiwetinepinesiik Stark, demonstrates how Anishinaabeg stories can be used as theoretical frameworks guiding questions in law, history, anthropology, environmental studies, and other fields (p. xvi). Not only can stories be used to frame research questions, but many of contributors show methodological value of stories. Thomas Peacock explains that stories can be used as primary teaching materials to better prepare non-Native teacher candidates for job market. While Peacock provides How-To for Skeptics, readers are encouraged to see every throughout collection as tool. As such, Centering Anishinaabeg Studies is call for Anishinaabeg scholars to validate our intellectual practices--our epistemological frameworks--through (written) practice. Doerfler, Sinclair, and Stark structured their collection to do decolonizing work; both content and form validate Anishinaabeg worldviews. For example, twenty-one chapters are divided into 7 R's: roots, relationships, revelations, resiliency, resistance, reclamation, and reflection (p. xxvii). These seven sections evoke Seven Grandfathers (p. 318). In as Mshkiki: Reflections on Healing and Migratory Practices of Minwaajimo, Dylan T. Miner quotes Kimberly Blaeser to remind us that Indian people don't really instruct their children; they them (p. 330). The Seven Grandfathers story children on desirable character traits and patterns of behaviour. By organizing their collection around number seven, editors ground Anishinaabeg scholars in who we are before showing us what Indigenous--or, Anishinaabeg --Studies could be. The 7 R's thus provide model for future publications: table of contents alone is an example of how we can subtly deploy Anishinaabeg epistemology in overwhelmingly Western spaces of publishing and university teaching. It is fitting that each section is titled a gift (Eko-Bezhig Bagijigan: Stories as Roots roughly translates First Gift; Stories as Roots). In Is That All There Is? Tribal Literature? Basil Johnston challenges scholars to root themselves in Anishinaabemowin (the Ojibwa language). Language, we are reminded, is also gift. It is key into the heart and soul and spirit of culture (p. 5). Language and literature is what makes us complex, multi-dimensional beings, and without them, our stories will remain those of wooden Indians ... incapable of love or laughter; or Tontos ... whose sole skills were to make fires (p. 4). Johnston suggests that incorporating language and literature into our works is critical first step in decolonizing academy. Brock Pitawanakwat affirms Johnston's position by revisiting Anishinaabeg understandings of truth--proof, perhaps, that not all ideas can be translated, and that transforming academy will (at times) require new levels of linguistic engagement. Unlike many Western words, there is no direct translation for truth. Instead, Anishinaabeg scholars write from position of the highest degree of accuracy (p. …

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)0.003
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 score0.632
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.310
Teacher spread0.265 · 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 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
Published2014
Admission routes3
Has abstractyes

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