Internet Marketing of Neuroproducts: New Practices and Healthcare Policy Challenges
Bibliographic record
Abstract
Direct-to-consumer advertising (DTCA) of healthcare products refers to a variety of marketing practices based on a combination of information and promotion strategies directed at consumers through different media such as radio and television broadcasts, newspaper and magazine ads, and, more recently, through the Internet. The principal form of marketing used by the pharmaceutical industry is the distribution of free samples to physicians but DTCA is an increasing part of global promotional spending for prescription drugs. Latest estimates suggest that DTCA now represents an annual $3.2 billion enterprise for the U.S. pharmaceutical industry. Findings from the literature show that these substantial efforts are geared toward the newer pharmaceuticals for chronic conditions with huge market potentials. The lion's share is going to the 20 most prescribed pharmaceuticals.We thank the Henry J. Kaiser Family Foundation (J.I.) for funding of this project and Dr. Patricia King for her support. Writing of this paper was supported by NIH/NINDS R01 #NS045831 (J.I.) and the Social Sciences and Humanities Research Council of Canada (E.R.). We also acknowledge Dr. Pamela Schraedley-Desmond, Shilpa Gulati, Neil Mukhopadhyay, and Sarah Waldman.
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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 | 0.034 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.018 | 0.011 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".