Bibliographic record
Abstract
Kim Phuc was the 9-year-old girl photographed on June 8, 1972, screaming and running naked down a road near Saigon, her skin on fire with napalm. The photo, by Associated Press photographer Nick Ut, was transmitted around the world and later won a Pulitzer Prize. After recovering from her ordeal, which she was not expected to survive, Kim was used by the communists in propaganda films and supervised daily as a "national symbol of war." In 1992, she and her husband defected when their plane, which was returning to Havana from Moscow, stopped to refuel in Newfoundland. Today, Kim lives near Toronto. When Vietnam veterans groups heard of Kim's whereabouts, they invited her to participate at a service in Washington, D.C., as part of a Veterans Day observance. She agreed because she wanted to share her experience and help others heal from the pain of war. While there, she spoke with a veteran who coordinated the air strike on her village, and she forgave him. In recognition of Kim's struggle, a foundation has been established to further heal the wounds of war. The Kim Foundation is a nonprofit organization that is committed to funding programs to heal children in war-torn areas of the world. In 1997 UNESCO named her a Goodwill Ambassador for Culture of Peace.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.112 | 0.010 |
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".