Bibliographic record
Abstract
The first Stream Session will be on Wednesday, March 29 from 2:00-4:00 pm at the conference room at the Burnaby Campus (8652). Stream Sessions are intended to be a colloquium where graduate students are invited to present their ideas to fellow students and faculty of the School of Communication. Topics for presentation can range from working papers to discussions of comprehensive or thesis readings to new theories and ideas still in the process of being formed. It’s an opportunity to workshop ideas among peers in a productive yet low-stakes environment while also receiving valuable feedback from students and faculty. For more details, please see the attached PDF. The following students will be presenting work for the first Stream Sessions. Each presentation will run 10-15 minutes with 15 minutes for discussion afterward. Stream Sessions - Wednesday March 29 2:00-4:00 pm SFU Burnaby Room 8652 2:00-2:30 - Alberto Lusoli (PhD Student) - “From Social to Critical Constructivism. An Exploration of the Main Schools of Thought in the Field of Science, Technology and Society" 2:30-3:00 - Geneva Lam (Master’s Student) - “Explaining Ethnic Media through the Lens of Language, Identity and Culture “ 3:00-3:30 - Shawna-Kay Thomas (Double-Degree Master’s Student) - “‘Portia Loves the Poor’ - Portia Simpson Miller and Affective Politics in Jamaica†3:30-4:00 - Peter Zuurbier and Darren Fleet (PhD Students) “It Just Feels Right: Affective Veridiction in the Contemporary West.†Faculty Referee: Frédérik Lesage There will be light refreshments served. Following the event, we encourage everyone attending and participating to make their way to the Highland Pub for drinks and continued conversation.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.822 | 0.610 |
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".