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Record W2975655283 · doi:10.1257/jel.39.3.902

Book Reviews

2001· article· en· W2975655283 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Economic Literature · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsQueen's UniversityMcGill University
Fundersnot available
KeywordsTheme (computing)Value (mathematics)Statement (logic)Selection (genetic algorithm)Computer scienceLibrary sciencePolitical scienceLawWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

Editor's Note: Guidelines for Selecting Books to Review Occasionally, we receive questions regarding the selection of books reviewed in the Journal of Economic Literature. A statement of our guidelines for book selection might be useful, therefore. The general purpose of our book reviews is to help keep members of the American Economic Association informed of significant English-language publications in economics research. Annotations are published of all books received. However, we receive many more books than we are able to review, so choices must be made in selecting books for review. We try to identify for review scholarly, well-researched books that embody serious and original research on a particular topic. We do not review textbooks. Other things equal, we avoid volumes of collected papers such as festschriften and conference volumes. Often such volumes pose difficult problems for the reviewer, who may find himself having to describe and evaluate many different contributions. Among such volumes, we prefer those on a single, well-defined theme that a typical reviewer may develop in his review. A volume that collects together papers from a wide assortment of different topics is not preferred to one devoted exclusively to one topic. We avoid volumes that collect previously published papers unless there is some material value added from bringing the papers together. Also, we refrain from reviewing second or revised editions unless the revisions of the original edition are really substantial. Our policy is to decline offers to review, (and unsolicited reviews of) particular books. We have examined the consequences of an alternative policy and have determined that we lack the resources to deal appropriately with unsolicited reviews. Coauthorship of reviews is not forbidden but is discouraged, and we ask our invited reviewers to discuss with us first any changes in the authorship or assigned length of a review. [Reprinted from JEL, March 1992, 30:1, p. vi.]

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.009
GPT teacher head0.216
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it