MétaCan
Menu
Back to cohort
Record W4391271878 · doi:10.46814/lajdv6n1-009

Bibliographic guidance workshops: resources of research portals and information and documentation standards as extension courses

2024· article· pt· W4391271878 on OpenAlex
Angela Maria de Oliveira, Ivani Silva, Maria Luzia Fernandes Bertholino dos Santos

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

VenueLatin American Journal of Development · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyMedicine

Abstract

fetched live from OpenAlex

Training the university community in the use of technical standards for information and documentation is a common practice aimed at ensuring that academic production follows and applies the standards indicated in these norms. This standardization helps maintain formal presentation and proper composition of documents within the university environment while also contributing to the scientific communication process. Since 2005, the Central Library of UEPG has offered training sessions for using the CAPES Portal, conducting database searches, and providing bibliographic orientation workshops for applying technical standards such as the Brazilian Association of Technical Standards (ABNT), APA, and Vancouver style. The training primarily addresses three key aspects: formal presentation – NBR 14724, citations – NBR 10520, and references – NBR 6023. This study highlights the metrics achieved between 2019 and 2023 across various courses that requested and participated in the trainings, noting fluctuations during critical years of the COVID-19 pandemic. Participation decreased in the first year (2020) but increased in the second year (2021) due to the virtual format of the sessions. The demand for these trainings is significant, responding to the needs and interests of undergraduate and graduate programs, and contributes to the proper composition of their scientific productions.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0000.002
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.422
Teacher spread0.380 · 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