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Record W4239624595 · doi:10.24124/2005/bpgub393

Native hip hop: coyote recreates story and song

2005· dissertation· en· W4239624595 on OpenAlexaffabout
Runningwater Dawn Dunstan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsScholarshipNewspaperPoliticsSubject (documents)The InternetQualitative researchSociologyMedia studiesPolitical scienceSocial scienceLibrary scienceWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

I intend to examine Native hip hop and its capacity to address social and political issues, empower and give voice to youth, and revitalize elements of oral tradition within a modern context. Qualitative inquiry grounded in the phenomenological tradition constitutes the research design for this study. lll Methodology includes primary research comprised of both interviews with Native hip hop artists as well as my own personal experience with hip hop; and secondary research including academic literature, internet, and other non-academic sources such as magazines, newspapers and audio disks. Native hip hop is a recent phenomenon in Canada, and scholarly literature on the subject is sparse. This study expands the scholarship in the discipline and recognizes the important segment of Native youth, their messages and contributions as hip hop artists to the hip hop community as well as contemporary Canadian First Nations culture.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.413
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.037
GPT teacher head0.370
Teacher spread0.333 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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
Published2005
Admission routes2
Has abstractyes

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