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Record W7009191376

Effecten van leeftijd en complexiteit van taken op de reactiesnelheid en accuraatheid bij inter-lidmaat taken: een observationele studie

2021· dissertation· nl· W7009191376 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDocument Server@UHasselt (UHasselt) · 2021
Typedissertation
Languagenl
FieldSocial Sciences
TopicDutch Social and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThird personQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Reactietijd en accuraatheid spelen een belangrijke rol bij inter-lidmaat taken, deze taken zijn van essentieel belang voor het behoud van zelfstandigheid en taken in het dagelijks leven. Door de stijgende graad van vergrijzing is er nood aan inzicht in de invloed van leeftijd en complexiteit op inter-lidmaat taken. Dit onderzoeksproject onderzoekt de invloed van leeftijd en de graad van complexiteit van de beweging op de reactietijd. Dit onderzoek wil een antwoord vinden op de onderzoeksvraag: "Welke effecten hebben leeftijd en complexiteit van een taak op reactiesnelheid en accuraatheid?".

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.003
Science and technology studies0.0050.001
Scholarly communication0.0030.003
Open science0.0040.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.038
GPT teacher head0.341
Teacher spread0.304 · 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