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Record W4408774544 · doi:10.32920/28636355

Indigenous & Black Joy

2025· preprint· en· W4408774544 on OpenAlexaboutno aff
Michella Mark, Wendy Wang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyEcologyBiology

Abstract

fetched live from OpenAlex

We created this activity book to delight. As a love letter to dreamers, stargazers and future makers. It pays tribute to Black and Indigenous people – our magic, our creativity and our simple wonderous existence. We hope the illustrations and activities affirm, celebrate and uplift. We hope seeing Indigenous and Black people reveling in each other's company undermines the myth that if one of us wins, the other one must lose. We cannot win alone; we never have. Our communities know the importance of togetherness, solidarity and kinship. We always have. We centered joy, rest, softness and togetherness of Indigenous and Black young people because it’s too often denied, devalued and even destroyed. For many of us, this line of destruction stretches back to our ancestors and the places, people, customs and land that were stolen. By settler-colonialism. By abduction. By invasion. By genocide. It can be hard to hold our grief and travesties alongside our joy. But we are so much more than our pain and trauma. Despite it all, we also have access to laughter, levity and togetherness. We curated places and moments of joy in Mississauga and Brampton to give the book a sense of place. These cities are not known for Black and Indigenous connections and so we wanted to dig in around that contradiction and myth. We know this is a myth because over one year ago we started exploring connections between Indigenous and Black young people in Peel region and, we found it! Repeatedly. We found it in each other. We found it in other members of our research team and the many people we met along the way. These aren’t trauma bonds! We also wanted to showcase beauty and delight in the mundane and highlight some favorite co-conspirators and activists. There are too many to name and far too many to include in this book. What stewards and protectors of the land inspire you? What examples of Black and Indigenous solidarity strengthen your resolve? There is no one way to enjoy this book. It can be enjoyed in company or solitude. It can be used by one person or passed along from friend to friend. You could find your comfiest nook, unwind, and let your ideas bloom mindfully. You can keep this book your best kept secret or you could share it widely. Don’t worry about staying inside the lines or using the "right" colors. This book is your canvas—make it uniquely yours. Whatever you do we hope this book reminds you that you are already enough.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.212
Threshold uncertainty score0.710

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.2120.083

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 head0.031
GPT teacher head0.354
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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