Bibliographic record
Abstract
I take the helm of Endocrinology at a time in scientific history that is both auspicious and unpredictable. During my 5-year term, the journal will celebrate its 100th anniversary, and it is still a leader in the publication of frontier science. I thank my predecessor Jeffrey D. Blaustein and his Editors for handing the journal over to my team in such excellent shape. Readers and scholars appreciate the impact that Endocrinology has made on basic science in the field, and this is reflected by the journal’s metrics. In my own research area of reproductive neuroendocrinology, when I am searching for the original studies that laid the groundwork, I continue to discover that many, if not most, were published in Endocrinology. Basic and biomedical research in the endocrine sciences today is leading to truly transformative discoveries. At the same time, therearenewchallengesanduncertainties thatwemustovercome. I am honored to have this opportunity to lead the journal into its second century, and I am eager to see the next 5 years unfold. I am delighted to introduce the new team of senior Editors of the journal, who are leaders in their respective fields in all senses of the word: Richard Auchus (University of Michigan, Ann Arbor, MI), Daniel Bikle (Veterans Affairs Medical Center/University of California, San Francisco, CA), Patricia Brubaker (University of Toronto, Toronto, Ontario, Canada), Anthony Hollenberg (Beth Israel Deaconess/Harvard Medical School, Boston, MA), Adrian Lee (University of Pittsburgh, Pittsburgh, PA), Gail Prins (University of Illinois, Chicago, IL), Emilie Rissman (University of Virginia, Charlottesville, VA), Hugh Taylor (Yale University, New Haven, CT), and Manuel TenaSempere (University of Cordoba, Cordoba, Spain). This group is simply outstanding. We have begun working together, and I am inspired by their thoughtful attention, knowledgeability, and genuine commitment to endocrinology, both the discipline and the journal. New Initiatives for Endocrinology
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".