Bibliographic record
Abstract
On September 11, 2001, a band of misguided terrorists struck a blow against America, but not only against America.Since September 11, we have mourned, and continue to mourn, the loss not only of thousands of Americans, but also the loss of individuals from many other nations: dozens of Pakistanis, more than 250 citizens of India, men and women from El Salvador, China, Germany, Canada, Japan, the United Kingdom, and many others.1 It is important to recognize as well the current plight of refugees from Afghanistan. 2 The outpouring of sympathy from around the world and the joining together of the world in response to the terrorist attacks has been remarkable.3 As citizens of the United States, we are immensely grateful for the sympathy and support that has been extended from all quarters of the world.We are living at a remarkable moment in time.As Prime Minister Tony Blair said in his speech at the Labour Party Conference shortly after the attacks: "In retrospect the Millennium marked only a moment in time.It was the events of September 11 that marked a turning point in history, where we confront the dangers of the future and assess the choices facing humankind."4 * Senator Smith has served in the United States Senate since 1997 and sits in the Energy and Natural Resources, Foreign Relations, Budget, and Commerce, Science, and Transportation Committees.This article was originally presented as the keynote address at the International Law and Religion Symposium held at Brigham Young University's J. Reuben Clark Law School on Oct. 7, 2001. 1. See President Bush's Address on Terrorism Before a Joint Meeting of Congress, N.Y.TIMES, Sept. 21, 2001, at B4.For a list of the names, employers, and home country of many of the victims of the September 11, 2001, terrorist attacks, see http://www.cnn.com/SPECIALS/2001/memorial/lists/by-country/index.html.2. See generally Barry Bearak, A Nation Challenged: Refugees; Pakistan Readies Forbidding Moonscape of Rock for 10,000 Afghans, N.Y.TIMES, Oct. 5, 2001, at B3; Human
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".