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Record W7053431268

Where Learning Happens: Conversations with Queer, Métis Youth Who Engage in Hip-Hop Cultures

2022· dissertation· en· W7053431268 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipQueerIndigenousCommunity of practiceRelation (database)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

Despite the vast academic and community scholarship on hip-hop cultures, there has been little research into the experiences of Métis youth in hip-hop, and what previous research exists has centered on the experiences of cisgender, heterosexual Métis men. This dissertation asks about the experiences of queer Métis youth participation in hip-hop cultures, and what would a pedagogy shaped by these experiences look like. The dissertation was written manuscript style, with three stand-alone articles brought together with an introduction and conclusion chapter. This research was centered within several academic landscapes in Chapter 1, including Métis identity, queer theory, and hip-hop cultures and pedagogies. I interviewed eight Métis participants, most of whom were queer, using an open-ended, conversational approach. Using Indigenous research methodologies and the voice-centered relational approach to data analysis, I entered into relationship with the stories shared by participants through a series of readings or “listenings,” discussed in depth in Chapter 2. Through these listenings, I was able to begin to hear not only the stories told both consciously and subconsciously, but also my own internal dialogue as a researcher engaging with their words. The analysis revealed two key categories of findings: the way that these Métis youth saw themselves both individually and in relation to community which I discussed in Chapter 3, and the way that these youth conceptualized learning spaces which I discussed in Chapter 4, including what facilitated or disrupted learning and how hip-hop overlapped with learning spaces. With these understandings in mind, I created guideposts I will use in developing a future Métis-focused hip-hop pedagogy. Chapter 5 offers a synopsis of this research, as well as a discussion of the contributions of this work, research challenges, and recommendations for future research. This research offers insights into the ways that queer Métis youth conceptualize their identities, how hip-hop cultures can impact educational spaces, and how the voice-centered relational method can be used in Métis research.

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)0.008
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0260.020
Scholarly communication0.0110.007
Open science0.0020.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.151
Teacher spread0.146 · 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 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
Published2022
Admission routes1
Has abstractyes

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