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Record W2114919906 · doi:10.4278/ajhp.25.4.ei

Reflections on Developments in Health Promotion in the past Quarter Century from Founding Members of the <i>American Journal of Health Promotion</i> Editorial Board

2011· editorial· en· W2114919906 on OpenAlexaboutno aff
Judd Allen, David R. Anderson, Bill Baun, Steven N. Blair, Larry S. Chapman, Michael P. Eriksen, Jonathan E. Fielding, Gilbert S. Omenn, Dean Ornish, Kenneth R. Pelletier, Michael P. O’Donnell

Bibliographic record

VenueAmerican Journal of Health Promotion · 2011
Typeeditorial
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Health promotionPromotion (chess)GerontologyPolitical scienceMedicinePublic relationsHistoryNursingPublic healthLawPolitics

Abstract

fetched live from OpenAlex

In celebration of the 25th anniversary of the founding of the American Journal of Health Promotion, all 14 of the founding members of our editorial board who are still affiliated with the Journal submitted reflections on how the field of health promotion has evolved in the past quarter of a century. Comments from 10 of them are below. Comments by four of them (J. Allan Best, PhD, Ron Goetzel, PhD, Barry Franklin, PhD, and Lawrence Green, DrPH) and comments by me are published as separate articles in this issue. As I look at the photos of these 14 people at the top of this page, I see 14 talented scholars and practitioners, 14 kind souls, 14 friends, and 14 middle-aged (and plus) white men. They are middle-aged (and plus), because they have been with us for 25 years. They are white and male, because that was the nature of our field 25 years ago. I am pleased to say that 148 (52%) of the 285 members of our current editorial team, and three of our four Associate Editors in Chief, are women. I don’t have an accurate racial breakdown of our current editorial team, but I do know that we are much more diverse than we were 25 years ago. These changes in gender and race are also a reflection of changes in the leadership of our field which I believe will help us better understand all populations and ultimately produce programs that will engage more people and produce even better outcomes.

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)0.026
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.455
Teacher spread0.383 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2011
Admission routes1
Has abstractyes

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