Bibliographic record
Abstract
A recent influx of Latin Americans into Edmonton, Alberta, has been met with a significant rise in interest in Latin music and dance. Many Latin dance studios in Edmonton are continuing to gain popularity with people of Latin American descent and many other Canadian cultural groups. This paper focuses on one Latin dance studio in Edmonton called ETOWN SALSA. Through a narrative interview with the owner, coupled with supplementary research about cultural identity tied to Latin music, this paper provides insight into how Latin dance studios’ presence helps develop and maintain diasporic Latin American identities. For many Latin Americans, music and dance are an essential way in which they can connect to their home countries. Not only can Latin dance help new immigrants find a sense of familiarity, but dancing can also help second or third-generation immigrants reconnect with their heritage. Our findings also suggest that non-Latin Americans who regularly participate in Latin dancing can identify and connect more with Latin American communities in Edmonton.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.080 | 0.030 |
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".