12 Roots, Pathways and Trajectories: Processes of Oscillation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Roots, Pathways and Trajectories: Processes of Oscillation"A lot of people will say, 'mi hear say yuh live a foreign' .Unno can gwaan!Any which part mi live: Toronto, London, Florida [] a Jamaica mi deh.Jamaica mi deh all the time!" -Miss Lou 1In times of increased migration and mobility research, it seems as if people, images, objects and culture are in constant flux.Attempts to describe these flows and fluctuations are manifold, with people being dispersed, displaced, deterritorialized (Glick Schiller et al. 1992; 1995; Appadurai 1990), reterritorialized, in '-scapes' (Appadurai 1991; 1996), 'hyper-mobile' (Gssling et al. 2012), cosmopolitan (Vertovec 2009), fluid, altogether nomads 'on the move' (Cresswell 2006; Gupta/Ferguson 1997).As a result, various studies about movement are closely linked to globalization processes, which challenge the idea of the interconnection of culture, people, and places.However, quite contrary to contemporary assumptions, movement and mobility are not new phenomena of the globalized world.Historical events give rise to the assumption that border crossing migration and mobility have long been a norm and survival strategy (see Jnsson 2008) to many people, including Jamaicans.Jamaica has a longstanding and ongoing "culture of migration" (see Thomas-Hope 2002; Cohen 2004; Hahn/Klute 2007), which makes studying mobility central to analysing its cultural meaning and measuring socio-cultural changes over time.Even though neoliberalism and capitalism both enhanced mobility in terms of socio-economics, governments worldwide often recognize mobility as a threat that needs to be ordered, regulated, and restricted (Scott 1998).In the Jamaican case, these regulatory policies are felt due to, e.g., new immigration laws by the United Kingdom in 2003, by the United States after 9/11 and constant changes in
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it