Message from the Technical Editor-in-Chief: <i>JA&WMA</i> dedicates this issue to its exceptional reviewers and editors
Bibliographic record
Abstract
"Message from the Technical Editor-in-Chief: JA&WMA dedicates this issue to its exceptional reviewers and editors." Journal of the Air & Waste Management Association, 68(1), p. 1 The Associate Editors and I are grateful to the thousands of reviewers who have participated in the peer review process over the past year, thereby helping to ensure that published research is accurate, trustworthy, and meets the highest standards of scientific study within the environmental field. Rigorous peer review is vital to maintaining the high quality and integrity of the research papers published in the Journal of the Air & Waste Management Association (JA&WMA). The peer reviewers listed on the following pages provided objective and constructive comments, thereby improving the quality of papers published in 2017. In keeping with JA&WMA’s longstanding tradition, therefore, this issue is dedicated to those peer reviewers for their valuable time and effort in this cause.In 2013, A&WMA initiated an outstanding reviewer award. This past year, ten reviewers were recognized by A&WMA with a certificate of appreciation for their dedication to scientific excellence in reviewing the manuscripts submitted in 2016 and 2017: Marina Astitha, J.C. Cerro, Herek L. Clack, Brian Freeman, Bodhisatta Hajra, R.K.M. Jayanty, Sang-Mi Lee, Yanpeng Li, Chang Park, and D.B. Parker. These reviewers provided thorough peer reviews on multiple manuscripts in a timely manner, which helped the authors improve the quality of their papers. Indeed, thanks to our Associate Editors’ diligence and reviewers’ timely responses, we have been able to maintain an average time from initial manuscript submittal date to first decision of less than 80 days.In addition to the contributions from peer reviewers, currently 19 eminent scientists from around the world serve as Associate Editors, playing a critical role in the day-to-day operations of JA&WMA. Their breadth of expertise and experience provides more complete coverage in air and waste management science and technology, bringing new diligence to the manuscript peer review and publication process. The Associate Editors are also key representatives of JA&WMA in their respective countries and scientific disciplines, seeking out new topics and special issues on topics of interest to the environmental community. In 2017, we published a special dedicated issue on remote sensing and exposure assessment (January 2017; Vol. 67, No. 1), as well as two Virtual Issues on waste management and air pollution measurements and modeling. We also welcomed Dr. Felix Vogel (Environment and Climate Change Canada) as a new Associate Editor. JA&WMA’s Associate Editors are listed on the inside cover page of each issue.Message from the Technical Editor-in-Chief: JA&WMA dedicates this issue to its exceptional reviewers and editorsAll authorsS. Trivikrama Rao Ph.D. Technical Editor-in-Chief, JA&WMAhttps://doi.org/10.1080/10962247.2017.1398007Published online:19 December 2017Display full sizeEach year, A&WMA presents a prestigious award named for Dr. Arthur C. Stern, a former President of the Association and eminent scholar in the air pollution field, to recognize those who have greatly advanced the air and waste management field through the publication of their research papers in JA&WMA. A selection committee consisting of experts drawn from industry, government, and academia work with me in selecting individuals who have contributed substantially to the environmental field through JA&WMA. Please join me in congratulating the winners of the 2018 Stern Award: Drs. Gary Bishop, Brent Schuchmann, Donald Stedman, and Douglas Lawson for their paper, “Multispecies Remote Sensing Measurements of Vehicle Emissions on Sherman Way in Van Nuys, California,” published in the October 2012 issue of JA&WMA (62:10, 1127-1133, DOI: 10.3155/1047-3289.61.4.418,). This paper gives a clear idea of how modern technology could be used to address an actual and well-recognized environmental problem—reducing emissions from the fleet of automobiles. Guidelines for the nomination for the Stern Award are available on the A&WMA website, www.awma.org, and JA&WMA online at www.tandfonline.com/uawm. I encourage you to send your nominations for the 2019 Stern Award to strao@ncsu.edu by September 15, 2018.I will continue to further enhance JA&WMA’s stature with the support of the contributing authors, peer reviewers, Associate Editors, and members of the Editorial Review Board. Finally, I want to thank A&WMA headquarters staff, Stephanie Glyptis, Lisa Bucher, and Nancy Bernheisel, for their assistance in managing the journal.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".