Commonplace Exchanges: New Documentary Networks and International Students
Bibliographic record
Abstract
International students have to overcome language barriers, adapt to different cultures and lifestyles, and grapple with the loneliness of living far from home. \n \nThis documentary is about “typical day” of four international students living and studying in Toronto. Including on-location shots and interviews, the footage was edited into different video formats, which were combined into a nonlinear interactive user-interface. This documentary project conveys some cultural complexities involved in going abroad; the documentary profiles are imbued with affective power and contain subtle details about environmental and cultural contexts. Being built on a website this project allows the audiences to add personal experiences via comments or video-responses and become documentary subjects. \n \nMy thesis investigates how participatory online documentary can assist current/potential international students in gathering information about studying overseas. It also helps international student service professionals, including administrators at universities and study-abroad intermediaries, to better understand the unique challenges these students face.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 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".