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Record W7135974309

HAPPYneuron Programme Efectivity

2014· dissertation· cs· W7135974309 on OpenAlexaboutno aff
Martina Kopecká

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2014
Typedissertation
Languagecs
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorCzechCognitionData collectionAllianceResource (disambiguation)Bachelor degree
DOInot available

Abstract

fetched live from OpenAlex

The HAPPYneuron Programme Effectivity The bachelor thesis is designed as a research project. This research tries to explore the effectivity of computer cognitive stimulation programme. The Basic School pupils (located in Pilsen region) participated this research, they had been training this programme for six months. The aim of this research project is a verification of effectivity of cognitive computer programme stimulation (it can cause the school results improvement, daily life activities and relationship with parents). The thesis is divided into two main parts - theoretical and empirical. The theoretical part deals with the main trends and researchs in this area. The empirical part describes the aim of the research project, research questions, the metodology, data collection etc. Data for this research were collected from parents and teacher before and after the training. The results were not statistically significant and we can not confirm the effectivity of this programme of cognitive stimulation. The Canadian ADHD Resource Alliance scales (the translations to Czech langure) are the indivisible part of this thesis. Powered by TCPDF (www.tcpdf.org)

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)0.001
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.084
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0840.009

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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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
Published2014
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)→Same topicAttention Deficit Hyperactivity Disorder→French-language works237,207→