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Record W2984199050 · doi:10.1075/ml.00002.gal

No lab, no problem

2019· article· en· W2984199050 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Mental Lexicon · 2019
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsBrock University
Fundersnot available
KeywordsComputer scienceFocus (optics)Data science

Abstract

fetched live from OpenAlex

Abstract We present new opportunities for psycholinguistic research that are made available by presenting experiments online over the web. We focus on PsychoPy3, which is a new version of a system for the development and delivery of behavioural experiments. Crucially, it allows for both these functions to be performed online. We note that experiments delivered over the web have significant efficiency advantages. They also open up new opportunities to increase the ecological validity of experiments and to facilitate the participation of members of populations that have thus far been less studied in the psycholinguistic literature. We discuss the crucial matter of millisecond timing in online experiments. The technical details of implementation of a behavioural psycholinguistic experiment are presented, along with listings of additional technical resources and support. Our overall evaluation is that although online experimentation still has technical challenges and improvements are ongoing, it may well represent the future of behavioural psycholinguistic research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.013

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 head0.011
GPT teacher head0.238
Teacher spread0.226 · 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