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Record W7044320876

Workshop Community en kletsen in de klas - nu en post-corona

2020· article· nl· W7044320876 on OpenAlexaboutno aff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2020
Typearticle
Languagenl
FieldSocial Sciences
TopicDutch Social and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContent analysisEvaluation methodsQuarter (Canadian coin)Research method
DOInot available

Abstract

fetched live from OpenAlex

De afgelopen negen maanden zijn met elkaar gegroeid naar blended, hybride en online onderwijs met ook zo’n 30% op campus. Digitaal kan er veel meer dan we dachten, maar we missen de ‘chemie en het kletsen’ in de klas, blijkt uit ons onderzoek. Men zegt: ‘Voor echt goed onderwijs moet je elkaar zien, elkaar ontmoeten'. In deze interactieve workshop vinden we woorden voor wat we dan missen op het gebied van ‘community in de klas’ en verkennen hoe we dat toch kunnen verkrijgen. Na afloop van de workshop hebben deelnemers een idee of en hoe je community kan creëren in de (post) corona klas.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0030.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.305
Teacher spread0.260 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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