Bibliographic record
Abstract
Paul Dragomir, manager of the Longshore Motel in Hollywood, Florida, reponed that in late August of 2001 two men, now believed to be September II hijackers Atta and Ziad Samir, came to his motel and requested a room with 24-hour Internet access. According to Dragomir, these men claimed they were computer engineers from Iran and chat they had come from Canada co find jobs. Dragomir put these two men in a hotel room without Internet access while he tried to locate a suitable available room for them. About a half an hour later, Dragomir returned to these two men's temporary room and found two laptops already set-up and waiting for telephone lines to obtain Internet access. Dragomir told the men that he had been unsuccessful in finding a vacant room with Internet access, bur that they were welcome to use his office to complete their work. The two men rejected this option and Dragomir apologized for the inconvenience and refunded the men's $175 in cash. Dragomir said at this point the men became angry and one of the guys said, You don't understand. We are here on a mission. Law enforcement officials later analyzed this need to be online as an indication that the hijackers were looking for Web pages or messages that would signal important information about their developing terrorist plot.'
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".