MétaCan
Menu
Back to cohort
Record W3176322801 · doi:10.12660/cgpc.v26n83.80861

Competências organizacionais desenvolvidas pela Escola Nacional de Administração Pública como Escola de Governo (1986-2016)

2021· article· pt· W3176322801 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.

fundA Canadian funder is recorded on the work.
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

VenueCadernos Gestão Pública e Cidadania · 2021
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
FundersÉcole nationale d'administration publique
KeywordsGovernoGovernment (linguistics)HumanitiesSociologyPolitical scienceArtPhilosophy

Abstract

fetched live from OpenAlex

Esse artigo versa sobre competência organizacional em administração pública. O objetivo é compreender as competências organizacionais desenvolvidas pela Escola Nacional de Administração Pública (ENAP) como escola de governo. Para cumprimento desse objetivo, adota-se uma abordagem teórico-metodológica histórica, utilizando-se, como técnicas de levantamento de informações, pesquisa documental e entrevista com recurso à história oral temática; e, como técnica de análise, a análise temática. Nessa compreensão histórica, evidenciaram-se como competências organizacionais desenvolvidas pela ENAP no cumprimento de seu propósito como escola de governo: ter a marca ENAP; formar competência para a gestão; ser espaço de encontro de competências; e interpretar demandas. A história dessas competências organizacionais foi marcada por processos adaptativos, emergentes e incrementais, o que fez a ENAP como escola de governo.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.004

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 head0.067
GPT teacher head0.337
Teacher spread0.270 · 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