MétaCan
Menu
Back to cohort
Record W4220800888 · doi:10.30820/1664-9583-2022-1-101

Kinder und Jugendliche in der Pandemie

2022· article· de· W4220800888 on OpenAlexaff
Mara Foppoli

Bibliographic record

VenuePsychotherapie-Wissenschaft · 2022
Typearticle
Languagede
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsInstitute of Genetics
Fundersnot available
KeywordsPolitical scienceArtHumanities

Abstract

fetched live from OpenAlex

In diesem Artikel wird mithilfe der Berichte der wichtigsten Träger niederschwelliger Angebote im Bereich der Förderung und Unterstützung von Kindern dargestellt, wie Kinder und Jugendliche die Pandemiesituation erleben. Insbesondere wird über die Faktoren berichtet, die den grössten Einfluss auf die psychische Belastung haben könnten, und über Risikound Schutzfaktoren. Abschliessend wird überlegt, welche Rolle die Psychotherapie in den kommenden Jahren für Jugendliche und Kinder spielen könnte.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.071
GPT teacher head0.430
Teacher spread0.359 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePsychotherapie-WissenschaftSame topicCOVID-19 and Mental HealthFrench-language works237,207