Bibliographic record
Abstract
OBJECTIVES: In Haiti, AIDS has become the leading cause of death in sexually active adults. Increasingly, AIDS has become a disease of women and children. Previous bibliometric studies have shown the emergence of Haiti as a leading country in the production of AIDS literature in the Latin American and Caribbean regions. No information exists, however, regarding the type of publications produced, the collaboration patterns used, or the subject content analysis of this production. The purpose of this study was to gain insight into the construction of this literature production. METHODS: A bibliometric analysis regarding Haitian AIDS research was conducted in the AIDSLINE database for the period 1980 to 1998. An attempt was made to identify the patterns of the growth in AIDS literature, as well as the types of documents published, authorship, institutional affiliations of authors, and subject content. RESULTS: Results indicated that most documents were published in periodicals. The International Conference on AIDS obtained the highest frequency. The United States, Haiti, and Canada were the main productive countries. CONCLUSIONS: While nearly 40% of the records corresponded to ethnology-related articles, HIV infections, sex behavior, pregnancy, and substance-related disorders headed the Medical Subject Headings (MeSH) found. Main aspects of AIDS papers focused on epidemiology, complications, and trends issues.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.116 | 0.156 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".