Bibliographic record
Abstract
November 01 2018 A Science of Signals: Einstein, Inertia, and the Postal System Jimena Canales Jimena Canales Jimena Canales is Associate Professor in the Department of the History of Science at Harvard University, specializing in the history of physics and astronomy and contemporary cultural theory. She is the author of A Tenth of a Second: A History (Chicago University Press, 2010) and numerous articles on the history of science, architecture, film and visual technologies. Recent publications include “A Number of Scenes in a Badly Cut Film: Observation in the Age of Strobe,” in Histories of Scientific Observation (2011) and “Movement before Cinematography: The High-Speed Qualities of Sentiment,” in the Journal of Visual Culture 5 (2006). Search for other works by this author on: This Site Google Scholar Author and Article Information Jimena Canales Jimena Canales is Associate Professor in the Department of the History of Science at Harvard University, specializing in the history of physics and astronomy and contemporary cultural theory. She is the author of A Tenth of a Second: A History (Chicago University Press, 2010) and numerous articles on the history of science, architecture, film and visual technologies. Recent publications include “A Number of Scenes in a Badly Cut Film: Observation in the Age of Strobe,” in Histories of Scientific Observation (2011) and “Movement before Cinematography: The High-Speed Qualities of Sentiment,” in the Journal of Visual Culture 5 (2006). Online Issn: 2572-7338 Print Issn: 1091-711X © 2011 Jimena Canales2011Jimena Canales Thresholds (2011) (39): 12–23. https://doi.org/10.1162/thld_a_00156 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Jimena Canales; A Science of Signals: Einstein, Inertia, and the Postal System. Thresholds 2011; (39): 12–23. doi: https://doi.org/10.1162/thld_a_00156 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 ContentAll JournalsThresholds Search Advanced Search This content is only available as a PDF. © 2011 Jimena Canales2011Jimena Canales Article PDF first page preview Close Modal You do not currently have access to this content.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".