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Record W2436212855 · doi:10.71910/supsi.594

Benessere degli adolescenti e attività extra-scolastiche artistiche

2014· dissertation· it· W2436212855 on OpenAlexaboutno aff
Domenico Ceresa

Bibliographic record

VenueSUPSI ARIS · 2014
Typedissertation
Languageit
FieldSocial Sciences
TopicEducational and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtCartographyGeography

Abstract

fetched live from OpenAlex

Il benessere degli adolescenti è un costrutto multidimensionale conosciuto ed adottato dalla comunità scientifica. Le ricerche condotte presso l’università della British Columbia in Canada hanno permesso di operazionalizzarlo rendendone misurabili i diversi aspetti come l’autostima, l’ottimismo, la salute generale, la salute mentale, i rapporti con gli adulti, i rapporti con i pari, le attività extra-scolastiche tramite l’articolato questionario MID (Middle Years Developement Instrument) tradotto in italiano e somministrato in Ticino a 1900 preadolescenti sull’arco di tre anni. Relatori: Luciana Castelli, Luca Sciaroni, Alberto Crescentini. Materia: Master of Arts in secondary Education - educazione musicale Con un metodo di ricerca misto fra quantitativo e qualitativo, il presente lavoro si è concentrato sulla percezione degli adolescenti nella regione Tre Valli cercando da un lato di evidenziare eventuali differenze fra il contesto regionale e cantonale, dall’altro di far emergere, tramite l’intervista a soggetti pre-adolescenti ed adulti, quali fattori o elementi influiscono su un vissuto positivo delle attività frequentate. I risultati hanno permesso di rilevare il profilo della struttura ideale che offre dei corsi di tipo artistico, così come di evidenziare alcune differenze fra il contesto delle Tre Valli con il resto del Canton Ticino. Relatori: Luciana Castelli, Luca Sciaroni, Alberto Crescentini. Materia: musica

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.031
GPT teacher head0.330
Teacher spread0.299 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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