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Record W2046526606 · doi:10.1080/0266736042000251808

Applying Emotional Intelligence: Exploring the Promoting Alternative Thinking Strategies curriculum

2004· article· en· W2046526606 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational Psychology in Practice · 2004
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsCochrane
Fundersnot available
KeywordsPsychologyCurriculumEmotional intelligenceEmotional competenceCompetence (human resources)Class (philosophy)CognitionAction researchDevelopmental psychologyEthosPedagogyMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

This paper describes a collaborative action research project in one primary school that arose from a mutual interest in applying the concept of “Emotional Intelligence”. It involves an exploratory qualitative study of the Promoting Alternative Thinking Strategies (PATHS) curriculum. This is an approach aimed at promoting emotional competence in children and young people. The PATHS curriculum was chosen because of its clear conceptualisation of emotion, its emphasis upon cognitive and developmental aspects and its research history. One class of 9 and 10 year olds took part in the project. Target children were selected from within this group for closer monitoring. The outcomes suggest that PATHS was rated very positively by class teachers, pupils and other staff involved in the project. Positive emotional, social and behavioural changes at a class and individual level were attributed to the effects of PATHS. Finally, the importance of developing a positive school ethos was highlighted as promoting these effects.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.108
GPT teacher head0.455
Teacher spread0.347 · 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