The Level and Distribution of Global Household Wealth
Bibliographic record
Abstract
Journal Article The Level and Distribution of Global Household Wealth Get access James B. Davies, James B. Davies University of Western Ontario Search for other works by this author on: Oxford Academic Google Scholar Susanna Sandström, Susanna Sandström UNU‐WIDER, Helsinki Search for other works by this author on: Oxford Academic Google Scholar Anthony Shorrocks, Anthony Shorrocks UNU‐WIDER, Helsinki Search for other works by this author on: Oxford Academic Google Scholar Edward N. Wolff Edward N. Wolff New York University Search for other works by this author on: Oxford Academic Google Scholar The Economic Journal, Volume 121, Issue 551, 1 March 2011, Pages 223–254, https://doi.org/10.1111/j.1468-0297.2010.02391.x Published: 23 November 2010 Article history Received: 14 April 2008 Accepted: 24 May 2010 Published: 23 November 2010
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 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".