"'NOT IN CANADA': THE NON-EBOLA PANIC AND MEDIA MISREPRESENTATION OF THE BLACK COMMUNITY"
Bibliographic record
Abstract
This paper investigates the case of a non-Ebola panic in Hamilton, Ontario in 2001. Using in-depth interviews of journalists, hospital staff, members of the Congolese-Black community and content analysis of coverage by four Canadian newspapers, this study shows that the media problematized the case by cross-articulating a health scare of Ebola with immigration, crime and “race”. Utilizing extant “late modernity” literature and its attendant anxiety over risks, the study shows how a “scapegoat” was created, feasted upon by the media and aroused the collective conscience of mainstream Canadian society. Consequently, the voice of the community was misrepresented and underrepresented in the media. This study explicates the human material effects of media coverage on members of the community. Through interviews with key dramatis personae in the event, this study qualitatively teases out how weak ties to major institutions of society can lead to a drowning out of minority standpoints regardless of its authenticity and factuality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.045 | 0.018 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".