Bibliographic record
Abstract
Preventing Chronic Disease (PCD), the first issue of which was published in January 2004, is the product of Dr Lynne Wilcox's vision to create a journal that intersects research programs, practice, and policy. With the support of Dr James Marks, then the director of the National Center for Chronic Disease Prevention and Health Promotion, Dr Wilcox created a peer-reviewed publication dedicated to communicating multiple perspectives of public health professionals, from academics to advocacy groups to practitioners working in the field. The vision was, and is, for PCD to be published by but editorially independent of the Centers for Disease Control and Prevention (CDC). Dr Wilcox anticipated a future in which technology could be used innovatively in publishing. PCD is CDC's first Web-only journal, a format that is becoming more common among scientific and academic publishers. PCD is also an open-access journal; its content is available free of charge and free of copyright and licensing restrictions. The only constraint on reproduction and distribution is PCD's request that authors be properly acknowledged and cited. The inclusion of multiple perspectives is central to PCD. The journal includes both peer-reviewed and non–peer-reviewed articles. The peer-reviewed articles fit the traditional academic and research models. Articles with nontraditional criteria, such as Tools and Techniques, focus on professional development. Regardless of article type, the journal requires authors to write in plain language and avoid technical terms and jargon to promote understanding to the broadest possible audience. These editorial policies continue to support PCD's vision of inclusion and representation of traditional and nontraditional perspectives. Dr Wilcox realized the value of the international community's contributions in understanding and addressing challenges in public health — to think globally for local action. Public health professionals from Canada and Mexico serve on PCD's editorial board; these 2 nations represent the 2 largest segments of readers outside of the United States. Dr Wilcox implemented the translation of abstracts and full-text articles in Spanish, French, and traditional and simplified Chinese. Although PCD accepts submissions on any chronic disease-related topic at any time during the year, the journal has also collaborated with guest editors on special themed collections. Each collection has covered different aspects of public health, including prevention, health promotion, interventions, disparities, and stakeholder engagement. These collections helped establish PCD as a venue for discourse on a range of public health topics. By the end of its 5th year in 2008, the journal had a permanent staff of 13. PCD boasted approximately 15,000 subscribers, approximately 500 published articles, indexing in PubMed and PubMed Central, innovative technology, editorial decisions based on open and free communication of ideas, international recognition, and the exploration of new theories and concepts. When Dr Wilcox retired from the United States Public Health Service in August 2008, 2 dedicated and capable scientists stepped up to serve PCD as acting editors in chief: Dr Marta Gwinn and Dr Susan Chu. Both had to hit the ground running, inheriting an existing production schedule, a backlog of manuscripts, a calendar of planned issues, and guest editors. Dr Gwinn and Dr Chu effectively navigated the editorial and leadership challenges. We thank them for their outstanding leadership to help PCD continue to grow and thrive.
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 | 0.039 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.026 | 0.031 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.016 | 0.029 |
| Insufficient payload (model declined to judge) | 0.020 | 0.012 |
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".