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
The Geographical JournalEarly View CORRIGENDUMFree Access This article corrects the following: Exploring the nexus between natural disasters and food (in)security: Evidence from rural Bangladesh Muhammad Ibrahim Shah, Sakil Ahmmed, Usman Khalid, Volume 188Issue 2The Geographical Journal pages: 223-244 First Published online: February 20, 2022 First published: 10 March 2023 https://doi.org/10.1111/geoj.12509AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat In the article by Shah et al. (2022), the affiliations of author Muhammad Ibrahim Shah were published as: 1Resource Economics and Environmental Sociology (REES), University of Alberta, Edmonton, Alberta, Canada. 2Department of Economics, University of Dhaka, Dhaka, Bangladesh. The correct affiliation should only be: Department of Economics, University of Dhaka, Dhaka, Bangladesh. REFERENCE Shah, M.I., Ahmmed, S. & Khalid, U. (2022) Exploring the nexus between natural disasters and food (in)security: Evidence from rural Bangladesh. The Geographical Journal, 188, 223– 244. Available from: https://doi.org/10.1111/geoj.12431 Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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