Bibliographic record
Abstract
This article contains observations and historical considerations on cancer and complementary and alternative medicine (CAM) in the Tijuana, Mexico, area. There are approximately 2 dozen such clinics in Tijuana, some of which have been treating international cancer patients since 1963. Among the first clinics to be established were the Bio-Medical Center (Hoxsey therapy), Oasis of Hope (a Laetrile-oriented clinic), and a series of clinics affiliated with the Gerson diet therapy. These original clinics were established mainly by American citizens in response to increased regulation of nonstandard therapies in the United States, particularly after passage of the Kefauver-Harris Amendments to the Food, Drug and Cosmetics Act in 1962. In the 1970s, the Tijuana clinics proliferated with the upsurge of interest in Laetrile (amygdalin). By 1978, 70,000 US cancer patients had taken Laetrile for cancer treatment, and many of those had gone to Tijuana to receive it. The popularity of the Tijuana clinics peaked in the mid-1980s. Although many new clinics opened after then, a dozen have folded in the past 10 years alone. The turning point for the clinics came with passage of the North American Free Trade Agreement (NAFTA), which facilitated greater cooperation among the antifraud authorities of Canada, the United States, and Mexico. In 1994, the tripartite members of NAFTA formed the Mexico-United States-Canada Health Fraud Work Group, or MUCH, whose brief is to strengthen the 3 countries' ability to prevent cross-border health fraud. Under the auspices of MUCH and its members, regulatory crackdowns began in earnest early in 2001. The clinics were also badly affected by the general downturn in travel after 9/11. If these trends continue, many Tijuana clinics are unlikely to survive. Some suggestions are made for how the Tijuana clinics could be reorganized and reformed to minimize the likelihood of governmental actions and to maximize public support. Such reforms center on 5 main areas: (1) research, (2) physical plant, (3) finances, (4) ethics, and (5) education.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.363 | 0.137 |
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".