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Record W34778152 · doi:10.3389/fped.2021.762531

Советская история в изображении Ф. А. Степуна: к постановке вопроса

2005· article· en· W34778152 on OpenAlex
Гаман Лидия Александровна

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueVestnik Tomskogo gosudarstvennogo universiteta Filologiya · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Science, and History
Canadian institutionsnot available
Fundersnot available
KeywordsInterpretation (philosophy)Period (music)EpistemologyHistoryPhilosophyPolitical scienceLinguisticsAesthetics

Abstract

fetched live from OpenAlex

<b>Introduction:</b> Every year, millions of children die from preventable causes worldwide. According to World Health Organization, injuries are the leading cause of disability and death among all age groups below 60 years. <b>Aim:</b> This study aimed to evaluate the global research outcomes and trends, and some key bibliometric indicators in pediatric trauma. <b>Methods:</b> A descriptive bibliometric analysis study was designed. On June 14, 2021, an electronic search was performed in the Web of Science Core Collection database using the potential searching keywords "Pediatric AND Trauma" in the title field without any limitations. The search was performed using the Boolean search query method. The data were downloaded in plaintext and comma-separated values format. The required graphs were generated using OriginPro 2018. Furthermore, the data were transferred to HistCite™ software for bibliometric analysis. In addition, the obtained data were plotted for network visualization mapping using VOSviewer software version 1.6.15 for windows. <b>Results:</b> A total of 2,269 documents were included in the final analysis. The included documents were authored by 7,894 authors and published in 395 research and academic journals, mainly in the English language (<i>n</i> = 2,222). The main document types were articles (<i>n</i> = 1,276, citations = 18,244), and meeting abstracts (<i>n</i> = 331, citations = 19). Pediatric (<i>n</i> = 2,269) and trauma (<i>n</i> = 2,257) were the most widely used keywords. The most productive year was 2019 (<i>n</i> = 184, citations = 527). The most prolific author was Upperman JS (<i>n</i> = 29, citations = 202). The most attractive journals in pediatric trauma research were <i>The Journal of Trauma and Acute Care Surgery</i> (<i>n</i> = 290, citations = 5,199) and the <i>Journal of Pediatric Surgery</i> (<i>n</i> = 256, citations = 5,088). The most active institute was the University of California System (<i>n</i> = 110). The most dominant country was the United States of America (USA) (<i>n</i> = 1,620, citations = 22,983). The USA and Canada had the highest total link strength, 103 and 70, respectively. <b>Conclusion:</b> This study provides a comprehensive overview of research output in pediatric trauma. The USA continues to dominate scientific research and funding in pediatric trauma. Findings of the current study will help the researchers and clinicians to understand the recent achievements and research frontiers. Collaborative research initiative needs to be established between institutions in developed and developing countries and among researchers.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.005

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 head0.027
GPT teacher head0.196
Teacher spread0.170 · 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