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Record W2733248086

Capoeira and Hip Hop in North East Brazil: Resistance to Inequality

2015· dissertation· en· W2733248086 on OpenAlex
Hilary Leah Gold

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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYorkSpace (York University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicMartial Arts: Techniques, Psychology, and Education
Canadian institutionsnot available
FundersYork University
KeywordsIndigenousOutreachResistance (ecology)PovertyGender studiesHarm reductionSociologyInequalityMental healthPolitical scienceMedicinePublic healthNursingPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

In my MA thesis I argue that engagement in Capoeira and Hip Hop by Afro-Indigenous youth and community members in NorthEast Brazil ruptures their historically unequal status and enacts collective social change. My thesis is grounded on two programs I co-founded, “Capoeira for Street Kids” (Canada and Brazil) and “Hip Hop Rescues Kids” (Brazil). Both programs I co-created in 2005 with street involved and homeless kids and youth in Brazil. Both are unique forms of decolonizing research methodology and practice focused on healing from an Afro-Indigenous Brazilian worldview. The programs covers street health, harm reduction and community outreach with homeless and street involved people. This work is collaborative with communities with a history of diverse challenges including: poverty, homelessness, violence and addictions/mental health.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.329
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