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Record W2988504898 · doi:10.5703/1288284317065

Are Economic Pressures on University Press Acquisitions Quietly Changing the Shape of the Scholarly Record?

2019· article· en· W2988504898 on OpenAlexaff
Emily Farrell, Kizer Walker, Nicole A. Kendzejeski, Mahinder S. Kingra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsPurchasingRevenueScholarly communicationPublishingArgument (complex analysis)Collection developmentLibrary scienceSociologyManagementPolitical scienceBusinessComputer scienceEconomicsMarketingLawAccounting

Abstract

fetched live from OpenAlex

The monograph remains central to humanities and qualitative social science (HSS) research as the form most suitable for the long-form argument and, crucially, as foundational to the tenure process in these fields. University and other scholarly presses have played a vital role in supporting the publication of scholarly monographs where such narrow research is not seen as being as commercially viable as, for example, journals. While there appears to be an erosion of traditional revenue streams, new funding models are not yet recuperating costs for scholarly monographs. Library budgets continue to tighten, with new collection strategies taking hold, putting strain on monograph purchasing where libraries were central supporters of the form. We wanted to know what these economic pressures meant for the ways in which editors at university and other scholarly presses choose to acquire books. Recent research has addressed the impact of cooperative library purchasing, the role of American university presses in shaping the monograph, effects of new business models and approaches to access, and the costs of producing scholarly monographs. But there has been little exploration into editorial practices as a part of this larger ecosystem. This paper presents preliminary results from a pilot study exploring the connection between revenue, the economics of publishing scholarly monographs, and the behaviors and choices of acquisitions editors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.206
Teacher spread0.171 · 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.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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