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Record W4255867441 · doi:10.17771/pucrio.acad.50880

ALGUMAS APLICAÇÕES PRÁTICAS DE SISTEMAS LINEARES E MATRIZES

2020· dissertation· pt· W4255867441 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

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsLinear algebraTheme (computing)Algebra over a fieldFocus (optics)Computer scienceMatrix algebraMarkov chainMatrix (chemical analysis)Work (physics)Numerical linear algebraLinear systemMathematicsPure mathematicsEngineeringEigenvalues and eigenvectorsGeometryWorld Wide WebMechanical engineeringMachine learning

Abstract

fetched live from OpenAlex

This work makes a basic introduction to the themes Markov Chains and Leontief Matrix aiming to show practical applications of linear systems and matrices with a focus on its application in Brazilian High School. To achieve this goal, the theoretical bases necessary for the student to be able to understand and solve problems with these themes has been revised. In addition, we present a proposal to introduce linear algebra with analytical geometry, as well as the way of taking linear algebra in military tests in Brazil. With the use of videos and online tools and creating friendlier paths on such a theoretical theme, it is demonstrated how Youtube can be a powerful tool in visualizing abstract problems involving linear algebra.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0420.002

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 head0.114
GPT teacher head0.462
Teacher spread0.348 · 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

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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