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Record W2076471598 · doi:10.1177/0142723705045678

Preschoolers’ talk about future situations

2005· article· en· W2076471598 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

VenueFirst Language · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCategorizationPsychologyTask (project management)Coding (social sciences)Developmental psychologyTest (biology)Language developmentCognitive psychologyComputer scienceArtificial intelligenceMathematicsStatistics

Abstract

fetched live from OpenAlex

We conducted 2 experiments that examined 3-year-olds’ ability to talk about future situations involving the self. In both experiments, children participated in a trip task. In this task, children were asked to choose various items that might be required on a trip, and to explain their choices verbally. A coding scheme that captured both the dimensions of futurity and uncertainty was developed to categorize children’s explanations. In addition, children were administered the Test of Early Language Development-2 (TELD-2) (Hresko, Reid & Hammill, 1991). Results from both experiments indicated that children’s language was beginning to reflect an ability to anticipate various situations involving the self that might arise during the course of a trip. The correlation between children’s scores on the trip task and their scores on the TELD-2 was positive, but not statistically significant. We discuss factors, other than general language ability, that may contribute to children’s talk, and thought, about the future.

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 categoriesInsufficient 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 score0.738
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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