MétaCan
Menu
Back to cohort
Record W7135915463

Interviewleitfäden aus dem Projekt ReZeitKon in deutscher und englischer Sprache (2020-21)

2023· article· W7135915463 on OpenAlexaboutno aff
Pascal Frank, Claire Grauer

Bibliographic record

VenueOpen MIND · 2023
Typearticle
Language
FieldSocial Sciences
TopicSurvey Methodology and Nonresponse
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchQualitative analysisQuarter (Canadian coin)Narrative
DOInot available

Abstract

fetched live from OpenAlex

Bei den Daten handelt es sich um qualitative Interviewleitfäden zur Befragung von Schülerinnen und Schülern, Lehrkräften, Eltern und weiteren Ressourcenpersonen im Rahmen einer Forschung zum Zeitempfinden von Schülerinnen und Schülern deutscher Sekundarschulen während der pandemiebedingten Schulschließungen in den Jahren 2020 und 2021. Die erste Befragungsrunde fand im Zeitraum von April bis Oktober 2020 statt. Eine zweite Befragungsrunde mit leicht angepassten Interviewleitfäden wurde zwischen Februar und März 2021, während der zweiten Phase längerer Schulschließungen in Deutschland, durchgeführt.

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)0.115
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1150.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.013

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 head0.440
GPT teacher head0.532
Teacher spread0.092 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueOpen MINDSame topicSurvey Methodology and NonresponseFrench-language works237,207