Cited by 0Open Education and E-LearningPublishing and Scholarly CommunicationHigher Education Practises and Engagement

Elaboración colectiva de la versión 2.0 de la Gobernanza Comunitaria de MetaDocencia

Open access
Iarussi, Emmanuel, Mercado-Lara, Eunice, Poggio, Iván Gabriel, Ación, Laura, Ascenzi, Laura, Sharan, Malvika, Palopoli, Nicolás, Lefer, Paola +3 more·2024·Zenodo

Abstract

Documentos relacionados al proceso de construcción colectiva de la versión 2.0 de la Gobernanza comunitaria de MetaDocencia. Incluye: Presentación final Graduación Open Seeds OLS-8 Pautas de Convivencia 2024 Protocolo de Intervención del Equipo de Pautas de Convivencia (PdC) de MetaDocencia MetaDocencia Conflict of Interest Policy Versión editable del formulario "MetaDocencia: Declaración de Conflictos de Interés" Pautas de Autoría de MetaDocencia MetaDocencia Authorship Guidelines

Integrity signals

Registry

DataCite · 10.5281/zenodo.12522913

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Authors
Iarussi, E., Mercado-Lara, E., Poggio, I. G., Ación, L., Ascenzi, L., Sharan, M., Palopoli, N., Lefer, P., Pendino, R., Xhardez, V., & Alonso, M.
Affiliations
MetaDocencia
Venue
Zenodo
Publisher
Zenodo
Published
2024-06-24
OpenAlex
W6911269101
Cited by
0
References
0
FWCI
0.00
Type
journal article
Language
es
Open access
Locations
Zenodo (CERN European Organization for Nuclear Research) (cc-by)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Open Education and E-Learning
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
  • Social Sciences › Education › Higher Education Practises and Engagement
Keywords
MetaDocencia, community governance, collective development, conflict of interest policies, coexistence rules, open educational resources, open science

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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