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Specific competences in the Tuning Latin America Project: their degree of importance and achievement among a sample of psychology students

2017· article· en· W2617537365 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueTuning Journal for Higher Education · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEducational Research and Science Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Latin AmericansPsychologySample (material)Higher educationPedagogyMathematics educationPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

<p>The implementation of the competence-based education approach at university level is a vehicle for the global transformation of the current Higher Education system. Over the past few decades, psychology has increasingly focused on the identification of core competences in the education of psychologists. The U.S., Canada and Europe have adopted competence-based education approaches. More recently, in 2013 the Tuning Latin America Project introduced the challenge to reach agreement on the education of psychologists in the region. The purpose of this research is to analyse the degree of importance and perceived achievement of the specific competences set out in the Tuning Latin America Project, among a sample of 100 advanced psychology students of a private university in the City of Buenos Aires. For such purpose, the Specific Competences Survey for students of the Tuning Latin America Project was used. All the competences obtained high ratings in terms of importance, in particular those related to professional ethics. In addition, the respondents considered that most of the competences are thoroughly developed during their university training. To conclude, further studies and analyses need to be carried out in order to identify current educational needs for psychologists and thus enhance quality and adjust psychological practice to current social needs.</p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

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

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 head0.183
GPT teacher head0.417
Teacher spread0.234 · 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