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Record W7112167874

Who Were the Saigon Correspondents and Does It Matter?

2000· other· en· W7112167874 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2000
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Subject (documents)AccreditationCriticismVietnam WarWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Who were the Saigon correspondents? Until now, everyone has had their own opinion, and much has depended upon each individual’s view of the Vietnam War. The former U.S. commander in South Vietnam and the subject of much criticism in the press of that day, General William C. Westmoreland, has had little good to say about them. “Fifty-one percent were under twenty-nine,” he asserted in 1972. “For the most part, they had little or no experience as war correspondents.” Peter Braestrup, a former bureau chief for the Washington Post in Saigon, disagreed with Westmoreland, but he had his own point of view. According to him, many so-called war correspondents in South Vietnam were anything but reporters. Instead, a high percentage of them were messengers, translators, technicians and cameramen, and back up staff members of all sorts, not journalists. Braestrup added that many legitimate reporters were on the scene for only short periods of time, often less than a week. This was just long enough to give their work at home some semblance of cachet but hardly enough for them to learn much about the war. Many other so called correspondents, Braestrup added, were not reporters at all but the spouses of correspondents. They took accreditation as journalists to gain access to the Saigon PX, which was open only to the military and to fully accredited members of the press. In the end, Braestrup said, fewer than one quarter of all the reporters present in South Vietnam were really working journalists.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.137
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0070.006
Open science0.0060.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0430.180

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.

Opus teacher head0.017
GPT teacher head0.244
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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