MétaCan
Menu
Back to cohort

Impactos em pessoas e processos decorrentes das mudanças nas organizações para atender as demandas da sociedade atual

2024· article· pt· W4392856571 on OpenAlexaff
Wesley Cidade da Silva Machado, E. M. dos Santos, Luiz Henrique Pimentel Nogueira, Yann Ricardo Vieira da Silva Ramos, Iago Nogueira dos Santos, Cláudia Andrezza Vilela Barbosa

Bibliographic record

VenueRevista Científica Multidisciplinar Núcleo do Conhecimento · 2024
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Este artigo científico aborda os principais impactos em pessoas e processos decorrentes das mudanças que as organizações passam, visando atender as demandas da sociedade atual. Atualmente, a mudança é um assunto que vem ganhando mais importância no ambiente de trabalho, principalmente em razão da dinamicidade e mutabilidade do mercado, oriundos da globalização e do avanço tecnológico. Nesse cenário, a Gestão da mudança é essencial para que as organizações possam passar por reestruturações significativas sem sofrerem danos substanciais. Consequentemente, os processos organizacionais também sofrem impactos, bem como as pessoas envolvidas neles. Portanto, esse estudo busca apresentar reflexões baseadas em referências bibliográficas que falam a respeito da gestão de mudança e processo, evidenciando a importância dessas matérias nas organizações modernas.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.004
Scholarly communication0.0110.006
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.034
GPT teacher head0.326
Teacher spread0.293 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueRevista Científica Multidisciplinar Núcleo do ConhecimentoSame topicBusiness Process Modeling and AnalysisFrench-language works237,207