On Terror's Trail: A Boston Globe reporter searches for answers in the wake of September 11
Bibliographic record
Abstract
Veteran Boston Globe reporter Brian MacQuarrie ’74 often is dispatched to scenes of tragedy, catastrophe or simple human drama. When Gianni Versace was murdered, it was MacQuarrie who was sent to Miami. When a man went on a shooting rampage in Colebrook, N.H., MacQuarrie was writing from the stunned community within hours. When a Swissair jet crashed in Nova Scotia in 1998, killing 229 people, MacQuarrie flew to Bangor, rented a car and drove the rest of the night to Halifax. He worked all that day, filing stories that night for the Globe. “I think it’s prepared me to go in cold,” MacQuarrie said. “You have only a few facts. You just have to think on your feet and think of the best way to file, who to see, how to arrange your interviews.” And if your assignment is particularly farflung, you hope to hire a good “fixer.” MacQuarrie did just that in Islamabad, Pakistan, where he found himself with the same driver who had ferried Wall Street Journal reporter Daniel Pearl through the city in the days before his death. What follows is MacQuarrie’s account of his weeks in Pakistan and Afghanistan, where he tried both to report on the day’s news and to divine the motives of friend, foe and those who fell mysteriously in between.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".