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Record W2106058408 · doi:10.5860/crl.65.1.56

Reviews of Independent Press Books in <i>Counterpoise</i> and Other Publications

2004· article· en· W2106058408 on OpenAlexaff
Juris Dilevko, Keren Dali

Bibliographic record

VenueCollege & Research Libraries · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNewspaperCounterpoiseLibrary scienceSociologyMedia studiesComputer science

Abstract

fetched live from OpenAlex

Although Counterpoise claims that it reviews books that are reviewed by other publications either infrequently or not at all, almost three-quarters of the books (74.7%) reviewed by Counterpoise are reviewed by a wide variety of other publications, including popular magazines and newspapers. Four core library review tools (Booklist, Choice, Library Journal, and Publishers Weekly) review 48.2 percent of all book titles reviewed by Counterpoise, and their reviews are favorable 74.4 percent of the time. Of the books not reviewed anywhere else except Counterpoise, more than half fall into six Library of Congress classification categories, including E (History: America), HQ (The family. Marriage. Women), HV (Social pathology. Social and public welfare. Criminology), and HD (Industries. Land use. Labor). In addition, there is a subset of titles that are frequently and positively reviewed by popular and academic publications, but not by reviewing journals commonly used by librarians.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.111
GPT teacher head0.372
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

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