Bibliographic record
Abstract
When asked what he means by the Dusty Foot Philosopher (the title of his recent CD, which received a 2006 Juno Award for Rap Recording of the Year, and was nominated for the inaugural Polaris Music Prize), Somali-Canadian MC K’Naan explains that this is both how he sees himself and a broader image of global representation. When images of Africa are shown on charity television (the most common means by which people view Africa, he suggests), the camera always kind of pans to the feet, and the feet are always dusty from these kids. What they’re trying to portray is a certain bias connected to their own historical reasoning, and what I saw though instead, was that that child with the dusty feet himself is not a beggar, and he’s not an undignifi ed struggler, but he’s the dusty foot philosopher. He articulates more than the cameraman can imagine, at that point in his life. But he has nothing; he has no way to dream, even. He just is who he is. (K’Naan interview, April 25, 2004)1 In his track “For Mohamoud (Soviet)” he explains further: Dusty foot philosopher means the one that’s poor, lives in poverty but lives in a dignifi ed manner and philosophizes about the universe and talks about things that well-read people talk about, but they’ve never read or traveled on a plane. (K’Naan, 2005) K’Naan’s vision raises several key themes we wish to pursue here. By looking at Hip Hop as dusty foot philosophy, as both grounded in the local and the real, and capable of articulating a broader sense of what life is about, K’Naan is not only talking about localization, about the ways in which Hip Hop becomes a means for the local articulation of identity, but also about a deeper sense of locality. To have one’s feet in the dust is an image of localization that goes beyond appropriation of sounds, or references to local contexts. It speaks to a particular groundedness, a relationship to the earth that is about both pleasure and politics. To walk barefoot is to be located in a particular way. In his adopted home, Canada, the impossibility of walking barefoot makes him “feel like a foreigner.” By contrast, “walking on the sand with your bare feet is therapeutic, you feel the sun” (Interview). Far from being a trivial point only about the weather or sartorial politics, this is a much more signifi cant issue to do with the ways in which our histories, bodies, desires, and localities are intertwined.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.072 | 0.014 |
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".