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Fator de impacto: importância e influência no meio editorial, acadêmico e científico

2009· article· pt· W2075407325 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBrazilian Journal of Cardiovascular Surgery · 2009
Typearticle
Languagept
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsImpactCanadian Association of Nurses in Oncology
Fundersnot available
KeywordsImpact factorMedicineCriticismScientific evidenceScientific literaturePolitical scienceLawEpistemology

Abstract

fetched live from OpenAlex

In this report the authors present information on the bibliometric instruments and their importance in measuring the quality of scientific journals and researchers. They in particular the history and deployment of the impact factor of the existing Institute for Scientific Information since 1955. Are presented and discussed the criticism regarding the inadequacy of the impact factor for evaluation of scientific production, misuse and strategies editorial handling of the bibliometric index. It is presented to the new classification CAPES for the journals, based on various criteria and the impact factor and its influence on national scientific and academic life. The authors conclude that, despite all obstacles and discussions, the impact factor of the Institute for Scientific Information is still an useful tool and the only isolation available to assess the scientific and intellectual productivity.

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)0.131
metaresearch head score (Gemma)0.110
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Bibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1310.110
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.010
Bibliometrics0.0610.106
Science and technology studies0.0010.000
Scholarly communication0.0050.003
Open science0.0050.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.168
GPT teacher head0.440
Teacher spread0.272 · 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