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Record W2766986487 · doi:10.26417/ejser.v11i2.p328-331

Learning Experiences in Higher and Further Education- An Innovative Socialentrepreneurship Project in a Public Mexican University

2017· article· en· W2766986487 on OpenAlexaboutno aff
Ignacio Ortíz Betancourt, María del Carmen Meza Téllez, Leidy Margarita López Castro, Jorge Samuel Berdón Carrasco

Bibliographic record

VenueEuropean Journal of Social Sciences Education and Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsVisionTransdisciplinaritySociologyEntrepreneurshipPedagogyInternationalizationHigher educationCompetence (human resources)Public relationsPolitical sciencePsychologySocial science

Abstract

fetched live from OpenAlex

This innovative educational project is the result of the work of a group of academics, who met the challenges of the 21st century, added their specific visions and made contact with transdisciplinarity and the formation of a significant formation in their students of the Educational Administration Program with learning orientated to the transfer, that is to say new fields of application (Campirán et al, 2005); this transit was possible through the metacognition resulting from the synergy found at the Universidad Veracruzana (Mexico) and the HEC University Montreal (Canada) to generate spaces that transcend the classrooms and thus express this vision that would allow to refocus and redirect their educational goals (Campirán et al, 2005). Internationalization of social entrepreneurship is part of an educational bonding project led by the academic group CA-UV-367 “Entrepreneurship, Management and Internalization” from which academics articulate formally the critical and complex exercise for an object-relation of learning of different visions: academic formation (curricular design); accommodation (spiral organization); development of visions based on competencies (Campirán, 1999, in Morado, 1999) and integrative concepts (Campirán et al, 2005). The results obtained from the exercise and the use of the transdisciplinary vision approach greatly enriched the units of competence and the curricular contents of educational experiences: Strategic and economic planning over time promoted and strengthened in students their comprehensive and flexible training in addition to enhancing their resources and academic capabilities by projecting themselves as members of a global community.

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)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.005
Scholarly communication0.0050.002
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.204
GPT teacher head0.478
Teacher spread0.274 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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