MétaCan
Menu
Back to cohort
Record W3194145553 · doi:10.1590/0001-3765202120201948

Integration of the elements involved in scientific publication

2021· article· pt· W3194145553 on OpenAlexfundno aff
Carlos Frederico Duarte Rocha

Bibliographic record

VenueAnais da Academia Brasileira de Ciências · 2021
Typearticle
Languagept
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsnot available
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoCanadian Foundation for Dietetic Research
KeywordsSimple (philosophy)Subject (documents)Process (computing)PublishingBalance (ability)Computer scienceInstitutionScientific publishingScientific literatureData sciencePolitical scienceOperations researchLibrary scienceEpistemologyLawPsychologyEngineeringPhilosophyBiology

Abstract

fetched live from OpenAlex

The issue of publication of articles by researchers in the universe of scientific publications, has become over the last decades, increasingly asymmetrical among the parties involved (author, Author's institution, Development agencies, Magazine / Publisher, and referees). Here, I analyzed to what extent are all the parts involved in the process of scientific publication equally balanced, and the gains and losses among parts involved during the process. The analysis points that the gains and losses among parts involved are quite asymmetric. I conclude that there are advantages, disadvantages and costs that should be addressed at a global level to better balance the process of publication and that should have some adjustments to better balance of the parts involved in the process. All parts involved should search for a more equilibrated system of publishing, since, now, the system is strongly asymmetric among the parts involved in scientific publication. It is clear is that this is not a simple subject, but possible changes are quite simple and desirable.

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)0.032
metaresearch head score (Gemma)0.102
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Bibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.102
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0290.286
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0050.002
Research integrity0.0010.002
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 head0.393
GPT teacher head0.498
Teacher spread0.105 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAnais da Academia Brasileira de CiênciasSame topicscientometrics and bibliometrics researchFrench-language works237,207