Bibliographic record
Abstract
Research Article| January 01 2012 Thank You, ABT Reviewers William Leonard, William Leonard Search for other works by this author on: This Site PubMed Google Scholar Kathleen Westrich Kathleen Westrich Search for other works by this author on: This Site PubMed Google Scholar The American Biology Teacher (2012) 74 (1): 7–8. https://doi.org/10.1525/abt.2012.74.1.3 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation William Leonard, Kathleen Westrich; Thank You, ABT Reviewers. The American Biology Teacher 1 January 2012; 74 (1): 7–8. doi: https://doi.org/10.1525/abt.2012.74.1.3 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentThe American Biology Teacher Search The National Association of Biology Teachers would like to thank the individuals listed below for their thoughtful reviews of manuscripts submitted to the American Biology Teacher during the year 2011. It is through their efforts that the ABT continues to be a valued and respected biology education journal. Chris Adams, King College, TN; Amelia Ahern-Rindell, University of Portland, OR; Christina Alevras, Saint Joseph College, CT; Douglas Allchin, University of Minnesota; Revathi Ananthakrishnan, Cambridge, MA; David Argent, California University of Pennsylvania; Roman Asshoff, University of Münster, Germany; Katharine Atkinson, Prince of Peace Schools, IA; Francisco Javier Aznar, University of Valencia, Spain; Gail A. Baker, Lane Community College, OR; Ana Barahona, UNAM, Mexico; Rob Barber, University of Wisconsin-Parkside; Laura M. Barden-Gabbei, Western Illinois University; Cindy Barlock, Kennedy High School, IA; Natalie Barratt, Baldwin-Wallace College, OH; Lauralee Barton, Riverside, CA; Roberta Batorsky, Collegeville, PA; Erin Baumgartner, Western Oregon University; Sandhya Baviskar, University of... You do not currently have access to this content.
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 | 0.016 | 0.118 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.096 | 0.125 |
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".