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Record W129918319

The cost of accessing research results and the Public Library of Science

2001· article· en· W129918319 on OpenAlexaboutno aff
Simon N. Young, Russell T. Joffe

Bibliographic record

VenueEurope PMC (PubMed Central) · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsMedical libraryPeriod (music)Public relationsLibrary sciencePolitical scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Over the past decade, the cost of scientific and medical journals has risen dramatically. This increased financial burden on researchers and on university and hospital libraries has coincided with a period of budgetary restraint. As a result, many libraries subscribe to fewer journals than they did a decade ago, in spite of the proliferation of journals during this period. Advances in information technology have made interlibrary loans easier and have brought journal articles directly to the computers sitting on researchers' desks. However, concerns remain about the financial burden of keeping up to date with the latest research results. The Public Library of Science (www.publiclibraryofscience.org) is a “non-profit organization of scientists committed to making the world's scientific and medical literature freely accessible to scientists and to the public around the world, for the benefit of scientific progress, education and the public good.” To date, more than 28 000 scientists from over 170 countries have signed the Public Library of Science open letter in support of its objectives. These include providing ”the full contents of the published record of research and scholarly discourse in medicine and the life sciences in a freely accessible, fully searchable, interlinked form.” The Journal of Psychiatry & Neuroscience (JPN) and its publisher, the Canadian Medical Association (CMA), have taken the first and most important step toward these objectives by making the contents of the journal freely available on its Web site (www.cma.ca/jpn). Unfortunately, few other journals have taken this step. A reasonably up-to-date list of journals that are available free, either at the time of publication or with a delay, is available at the Free Medical Journals Web site (www.freemedicaljournals.com). A small number of high impact journals are available free at the time of publication (e.g., Journal of Clinical Investigation, Developmental Biology, BMJ, Neurobiology of Disease). However, the list includes few journals in psychiatry or neuroscience. Even most journals sponsored by societies (e.g., Journal of Neuroscience, Neuropsychopharmacology, Journal of Psychopharmacology, International Journal of Neuropsychopharmacology, European Psychopharmacology) are not available free of charge, possibly because they are published as commercial ventures. JPN has the advantage of being sponsored by the Canadian College of Neuropsychopharmacology and published by the CMA, a noncommercial organization. The Public Library of Science suggests that those who support its objectives do their best to publish in journals that make their hard-earned results freely available. For researchers in psychiatry and neuroscience who wish to follow this suggestion but still want to publish in a journal with a high impact factor (i.e., > 2), JPN is one of the few options available.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.069
metaresearch head score (Gemma)0.178
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0690.178
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0090.013
Science and technology studies0.0070.011
Scholarly communication0.0330.028
Open science0.0070.015
Research integrity0.0130.014
Insufficient payload (model declined to judge)0.1340.128

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 head0.095
GPT teacher head0.284
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainEvaluation
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
Published2001
Admission routes1
Has abstractyes

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