Review: Pressure Cooker: Why Home Cooking Won't Solve Our Problems and What We Can Do about It, by Sarah Bowen, Joslyn Brenton, and Sinikka Elliott
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
Book Review| August 01 2019 Review: Pressure Cooker: Why Home Cooking Won't Solve Our Problems and What We Can Do about It, by Sarah Bowen, Joslyn Brenton, and Sinikka Elliott Pressure Cooker: Why Home Cooking Won't Solve Our Problems and What We Can Do about ItSarah Bowen, Joslyn Brenton, and Sinikka ElliottNew York: Oxford University Press, 2019352 pp. $24.95 (hardcover) Josée Johnston Josée Johnston University of Toronto Search for other works by this author on: This Site PubMed Google Scholar Gastronomica (2019) 19 (3): 96–97. https://doi.org/10.1525/gfc.2019.19.3.96 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Josée Johnston; Review: Pressure Cooker: Why Home Cooking Won't Solve Our Problems and What We Can Do about It, by Sarah Bowen, Joslyn Brenton, and Sinikka Elliott. Gastronomica 1 August 2019; 19 (3): 96–97. doi: https://doi.org/10.1525/gfc.2019.19.3.96 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 ContentGastronomica Search This content is only available via PDF. © 2019 by the Regents of the University of California. All rights reserved. Please direct all requests for permission to photocopy or reproduce article content through the University of California Press's Reprints and Permissions web page, http://www.ucpress.edu/journals.php?p=reprints.2019 Article PDF first page preview Close Modal 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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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