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Record W1529447871 · doi:10.18438/b88w2z

Open Access Pricing Models would Reduce Journal Expenditure at Most Colleges and Universities

2007· article· en· W1529447871 on OpenAlex
Gaby Haddow

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2007
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorInstitutionCitationLibrary scienceIndex (typography)PublicationSample (material)Political sciencePublic relationsBusinessSociologyComputer scienceSocial scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

Objective – To determine journal expenditure at nine colleges and universities using three pricing models, and to investigate the impact of an open access pricing model on journal costs according to institution type.
 
 Design – Cost analysis of three pricing models for journals.
 
 Setting – Nine college and university libraries in the United States.
 
 Subjects – 349 journal titles indexed by the Science Citation Index from four subject fields (general biology, cell biology, organic chemistry, and applied physics). 
 
 Methods – Institutions included in the study were selected from America’s Best Colleges (2004) on the basis of type of institution and quality ratings. Stratified sampling was used to randomly select an institution from the top 25% (Tier 1) and bottom 25% (Tier 4) from four institutional categories (doctoral national universities, master’s universities, bachelor’s liberal arts colleges, and bachelor’s comprehensive colleges). An additional institution was selected from Tier 1 of the doctoral universities category to ensure both a large and small institution was represented in the sample.
 
 Institutional access to the 349 journals was determined by searching the nine institutions’ library catalogues between August and October 2004. Print, online and combined print/online access was identified for each title at each institution.
 
 A component of the pricing models (below) included costs incurred when academics at the institutions published articles in some journals. To arrive at an estimate of these fees, articles published by authors at each institution were identified in the journal titles. All articles in the 349 titles by staff (first author only) at the nine institutions were costed at the lowest rate listed and assigned as journal expenditure for the institution.
 
 The cost analysis of institutional journal expenditure at each institution was conducted using three pricing models:
 
 1. A conventional subscription model
 Journal expenditure was calculated from four elements: individual title subscriptions; online journal collection costs; online journal aggregator costs; and submission/publication fees. These costs were determined from: online information about journal subscription prices; estimating a proportion of journal collection and aggregator databases costs; and page charges, publication and submission fees for authors from the institution.
 
 2. An open access publishing model based on the Public Library of Science (PLoS) pricing model
 Two costs comprised the open access publishing model: publication fees and print title subscriptions. Publishing fees were calculated from determining the average number of articles published by authors from an institution in one year. This number was then multiplied by $1,500 – the rate charged by PLoS in 2005. The second component was the cost of existing subscriptions to print titles, on the assumption that libraries will continue these subscriptions despite receiving online access to them. Print titles were costed at $160 per subscription.
 
 3. An equal revenue open access model (designed by the researcher to allow for the assumption that publishers considering taking up the PLoS model would not accept a reduction in revenue).
 If the PLoS model was implemented across the 349 titles, a substantial reduction in revenue to publishers would occur. Therefore, a multiplier was calculated for each subject area by dividing the aggregate amount (in the conventional model) paid for journals in a subject area by the amount paid under the PLoS model. The multiplier was then applied to the PLoS title cost. An adjustment was also made to reduce the effects of the non-representative sample of institutions. 
 
 Main results – The conventional pricing model calculations indicate that the association between journal expenditure and library size is stronger than the association between journal expenditure and type of institution. However, type of institution is a factor in journal expenditure with doctoral universities’ expenditure much higher than that of other types of institutions. No associations or trends were found when comparing journal expenditure across institutions for the four subject fields. 
 
 Under the PLoS pricing model, journal expenditure at all nine institutions would be substantially reduced. If this model was adopted by all publishers they would receive only 15% of the total amount expended on journals by the institutions under the conventional pricing model. The PLoS model would affect institutions’ proportion of total expenditure, with doctoral universities paying 96% of journal expenditure compared with 86% under the conventional model. This result is directly related to publishing activities at institutions. Large research universities, where staff publish at higher rates, would pay a proportionally higher amount of the total expenditure than other types of institutions, where publishing activity is low. 
 
 The equal revenue model, when compared with the conventional model, would provide substantial reductions in journal expenditure for seven of the institutions. However, under this model the largest doctoral university would see an increase in journal expenditure of 337% from conventional model expenditure: an increase primarily due to the higher publishing activity at the university. Institutions with low publishing activity and least print subscriptions would see the greatest reductions in expenditure if publishers moved from the conventional model to the equal revenue model.
 
 Up to 90% of American colleges would see a reduction in journal expenditure if publishers adopted the PLoS or the equal revenue pricing models.
 
 Conclusion – Most colleges and universities are consumers rather than producers of scholarly literature and, therefore, a shift from the conventional subscription model to a model based on publication activity will reduce their proportion of total expenditure. On the other hand, large research universities will see an increase in their expenditure as a proportion of total journal costs.
 
 Given the cost savings and the access to journals, a pricing model such as the PLoS would benefit most colleges and universities. In turn, under this model revenues to publishers would be reduced substantially.
 
 The equal revenue model would benefit the majority of colleges and universities by increasing their access to journal titles while reducing their journal expenditure. For example, a master’s university journal holdings could increase up to ten times with expenditure reduced by between 20–60%. Large research universities, however, would see an increase in journal expenditure for very few additional journal titles.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0100.701
Open science0.0010.002
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 head0.037
GPT teacher head0.294
Teacher spread0.257 · 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