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Record W3004312060

Hip Hop and Ya Don't Stop: Using Hip Hop to Engage Marginalized Youth in Contemporary Urban Classrooms in Canada

2014· dissertation· en· W3004312060 on OpenAlexaboutno aff
Danielle Anne Koehler

Bibliographic record

VenueYorkSpace (York University) · 2014
Typedissertation
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchPedagogyPsychologySociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

This study uses two research methodologies: retrospective life histories, and qualitative research method in the form of youth questionnaires to examine student beliefs and connections to hip hop culture as a tool for student engagement. Through open-ended questionnaires with ten Canadian urban youths in the City of Toronto, this qualitative study revealed concepts of identity, student engagement, isolation and inclusion. The purpose of the study was to provide an empowering place for youth to be understood and heard in relation to their own educational journeys, capturing both the positive and negative experiences they have encountered. As a result of the study, I, the researcher was able to locate and analyze my own passion for hip hop through the retrospective life history method. Hip hop offers an array of resources, knowledge and consciousness which students can transfer across academic disciplines. This study offers recommendations for using hip hop as pedagogy to engage marginalized youth and thus lead to less isolation and more success. In order to understand hip hop’s place in schools across Canada it is important to analyze educational policies, both past and present and how these policies ultimately affect the implementation of hip hop pedagogy, which was employed in this study

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.195
Teacher spread0.147 · 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 designQualitative
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 routes1
Has abstractyes

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