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Record W7078891539 · doi:10.5281/zenodo.17001754

Estudios sobre liderazgo en el sureste de México. Aspectos por mejorar en la formación de los directores de escuela. [Studies on Leadership in Southeast Mexico].

2021· book· es· W7078891539 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typebook
Languagees
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Power (physics)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

Título original: Estudios sobre liderazgo en el sureste de México. Aspectos por mejorar en la formación de los directores de escuela. D.R. © 2021 Edith J. Cisneros-CohernourD.R. © Universidad Autónoma de YucatánD.R. © Secretaría de Educación Pública Esta obra fue sometida a un riguroso proceso de evaluación doble ciegopor académicos especialistas en el tema. Comité de evaluación:Dra. Maricela López Ornelas, Universidad Autónoma de Baja CaliforniaDr. Patricio Henríquez Ritchie, Universidad Autónoma de Baja CaliforniaDra. Judith Galarza López, Universidad de La Habana, Red-ES Eugenia Montalván Proyectos Culturales S.C.P.unas letras industria editorialCalle 64 No. 560 x 73 y 71Centro Histórico97000Mérida, Yucatán, Méxicoeditoraunasletras@gmail.com Foto de portada: © Michele Moreno ISBN: 978-607-9054-84-7 Fecha de publicación: agosto, 2021

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.071
GPT teacher head0.283
Teacher spread0.212 · 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
Published2021
Admission routes1
Has abstractyes

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