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Record W2118204959

International cooperation in higher education in social work: a trainer of trainers experience

2014· article· en· W2118204959 on OpenAlexvenueno aff
María Luz Morante del Peral, Eva María Juan Toset, Belén Morata García de la Puerta

Bibliographic record

VenueService social · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsTrainerWork (physics)IndigenousSociologySocial workPolitical sciencePublic relationsEngineering
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this article is to report the experience of the international Project “Trainer of trainers in Social Work in the Eastern region of Morocco” which has been carried out from 2009 to 2011 and was undertaken at the request of the Mohamed I University of Oujda and the social institutions of this region. This project is framed in the ART GOLD programme of UNDP, in accordance with the Millennium Goals, with the participation of the Spanish universities of Malaga, Seville and Granada, the Italian universities of Perugia and Siena, and the social partners from Spain and Italy. One of the aims of this multilateral international collaboration project is to support Mohamed Premier University in developing Social Work as a discipline by using Social Work’s distinctive areas and methodologies. Furthermore, as a social approach and as a local reinforcement, contributing to the training of social partners from local institutions and civil society. This experience highlights the risk, in the area of international cooperation in social work, of keeping Western influences, dominant positions and emphasizes the need to develop indigenous theories and practices in the developing countries. The conclusions invite us to reflect on the epistemological and methodological dimensions that indentify Social Work worldwide and its suitability to different international contexts. Key-words International Social Work, ´trainer of trainers´ in Social Work.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.397
Teacher spread0.337 · 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 teacher head, not a consensus.

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
Published2014
Admission routes1
Has abstractyes

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