Words Matter: On the Debate over Free Speech, Inclusivity, and Academic Excellence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEGuest CommentaryNEXTWords Matter: On the Debate over Free Speech, Inclusivity, and Academic ExcellenceJohn M. Herbert*John M. HerbertDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States*[email protected]More by John M. Herberthttps://orcid.org/0000-0002-1663-2278, Martin Head-GordonMartin Head-GordonDepartment of Chemistry, University of California, Berkeley, California 94720 United StatesMore by Martin Head-Gordonhttps://orcid.org/0000-0002-4309-6669, Hrant P. HratchianHrant P. HratchianDepartment of Chemistry, University of California, Merced, California 95343 United StatesMore by Hrant P. Hratchianhttps://orcid.org/0000-0003-1436-5257, Teresa Head-GordonTeresa Head-GordonDepartment of Chemistry, University of California, Berkeley, California 94720 United StatesMore by Teresa Head-Gordonhttps://orcid.org/0000-0003-0025-8987, Rommie E. AmaroRommie E. AmaroDepartment of Chemistry and Biochemistry, University of California, San Diego, California 922093, United StatesMore by Rommie E. Amarohttps://orcid.org/0000-0002-9275-9553, Alán Aspuru-GuzikAlán Aspuru-GuzikDepartment of Chemistry, University of Toronto, Toronto, Ontario M5G 1Z8, CanadaMore by Alán Aspuru-Guzikhttps://orcid.org/0000-0002-8277-4434, Roald HoffmannRoald HoffmannDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14850, United StatesMore by Roald Hoffmannhttps://orcid.org/0000-0001-5369-6046, Carol A. ParishCarol A. ParishDepartment of Chemistry, University of Richmond, Virginia 23173, United StatesMore by Carol A. Parishhttps://orcid.org/0000-0003-2878-3070, Christina M. PayneChristina M. PayneNational Science Foundation, Alexandria, Virginia 22314, United StatesMore by Christina M. Paynehttps://orcid.org/0000-0001-5264-0964, and Troy Van VoorhisTroy Van VoorhisDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United StatesMore by Troy Van Voorhishttps://orcid.org/0000-0001-7111-0176Cite this: J. Phys. Chem. Lett. 2022, 13, 30, 7100–7104Publication Date (Web):August 4, 2022Publication History Received18 July 2022Accepted25 July 2022Published online4 August 2022Published inissue 4 August 2022https://doi.org/10.1021/acs.jpclett.2c02242Copyright © 2022 The Authors. Published by American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceCC: Creative CommonsBY: Credit must be given to the creatorNC: Only noncommercial uses of the work are permittedND: No derivatives or adaptations of the work are permittedArticle Views17143Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (1 MB) Get e-AlertsSUBJECTS:Hands-on learning,Labeling,Organic chemistry,Students,Undergraduates Get e-Alerts
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it