Losing my Western Baggage: An autobiographical case for relocating human rights within cultural studies discourse
Bibliographic record
Abstract
What is it about music that allows people to transcend difference? Can what we learn about music’s abilities inform an enhanced conversation of difference and be applied to the theory of education and critical pedagogy? These questions form the basis of my inquiry into music and social change, an investigation that I have largely focused in North America during the twentieth century. I had the opportunity to further this inquiry and explore the structural roots of music while participating in an adult education conference at the source of Nile in Uganda in the year 2004. The following personal narrative articulates my experiences in Africa and is an attempt to counter the dominant paternalistic hegemony often ascribed towards Africa and its people. In the course of actually losing my luggage, I became aware of Africa and the Africans I met as a place and people of generosity and discovery. In particular, I have been inspired by Africans’ writing both within the continent and in the Diaspora, continue to offer to both cultural studies theory and cultural practices. It is within the framework of cultural studies and human rights theory that I begin to identify a space in which music operates as a collective entity. By building north-south and east-west dialogues, working within and outside the academy, African intellectuals, activists, and artists continue to enrich our cultural landscape. My writing then, is an initial attempt to demonstrate the need to develop a more inclusive critical pedagogy that will benefit from the work of African scholarship and practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.046 | 0.113 |
| Scholarly communication | 0.018 | 0.023 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.007 | 0.018 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".