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Record W7160441051 · doi:10.22024/unikent/03/tm.1240

“You are Our Tomorrow”:

2024· article· en· W7160441051 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUniversity of Kent · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIndigenousKinshipLegislationResistance (ecology)StorytellingNarrativeThriving

Abstract

fetched live from OpenAlex

“You are our tomorrow,” is an empowering statement that January Spears (Michelle Thrush, Cree) says to her on-screen daughter, Aline (Grace Dove, Secwépemc) in the recent theatrical release of Bones of Crows (2022) by Dene/Métis auteur Marie Clements. For the 10th Anniversary Issue of Transmotion, I propose to write about the film, using a Diné-lens and analytic to argue that visual storytelling directly benefits the lives of Indigenous peoples and communities. Bones of Crows is the most recent feature-length historical-fiction film about Indian Residential Schools (IRS), and its ongoing effects (Turtle Island “education” is known as residential schools north of the Medicine Line and as boarding schools, south of the Medicine Line). The movie extrapolates almost a century of Indigenous-centred resistance to genocidal legislation (including the starvation policy and the Indian Act) through heartwarming and heartbreaking lived experiences that transcend borders. Clements’s film showcases a Cree-speaking survivor, from her childhood through adulthood to Elderhood. Aline’s life story epitomises thrivance, which according to the journal by the same name, is “Indigenous ways of being, knowing, and doing.” Though I pay homage to key conversations in critical Indigenous film studies, I expand upon my recent deployment of a Diné analytic, which is grounded in Diné language and philosophy. The Dene and Diné are linguistic relatives, yet our kinship ties were severed over time. However, using thrivance to ground the work, I will demonstrate how—despite ongoing adversity— the daily tenants of striving to live a life of wellness and balance (as taught to contemporary Dene and Diné) intersect with onscreen Indigenous presence which culminates in a moving and beautiful rendering of restoration: both personal and communal. Clements’ Indigenous film aesthetics highlight music, languages, and resilience, which exemplify Dene storytelling autonomy to reflect vibrant Indigenous tomorrows.

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)0.000
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 score0.920
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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