<i>Social informatics</i> is a poor choice of term: A response to Pantell et al
Bibliographic record
Abstract
Social informatics is a poor choice of term: A response to Pantell et al Aviv Shachak Aviv Shachak Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, CanadaFaculty of Information, University of Toronto, Toronto, Ontario, CanadaThe Wilson Centre for Research in Education, University Health Network and University of Toronto, Toronto, Ontario, Canada Corresponding Author: Aviv Shachak, PhD, Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College St., Toronto, Ontario, Canada M5T 3M6, (aviv.shachak@utoronto.ca) https://orcid.org/0000-0002-1166-609X Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of the American Medical Informatics Association, Volume 28, Issue 6, June 2021, Pages 1356–1357, https://doi.org/10.1093/jamia/ocab021 Published: 28 February 2021 Article history Received: 19 November 2020 Accepted: 27 January 2021 Published: 28 February 2021
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| 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".