Bibliographic record
Abstract
Webcast sponsored by the Irving K. Barber Learning Centre and hosted by the Vancouver Institute. A native of South Africa, Ms. Logan has earned a reputation as one of the world's best foreign correspondents, reporting stories from most of the world’s major conflict zones including Egypt, Afghanistan, Northern Ireland, Israel and Kosovo. Her courageous work has earned her some of the most prestigious awards in her field, including a duPont-Columbia University Silver Baton, an Emmy, an Overseas Press Club Award, an Edward R. Murrow Award, and five American Women in Radio and Television Gracie Awards. She was the only journalist from an American network in Baghdad when the U.S. military invaded the city, reporting live from Firdos Square as the statue of Saddam fell. Before formally joining CBS, Ms. Logan already had 14 years of journalism experience in the international broadcast news arena with ITN and Fox/SKY, ABC, NBC, CNN and the European Broadcast Union. This lecture is cosponsored by UBC’s Global Reporting Centre.
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 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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".