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Record W2950323690 · doi:10.1177/0142723719850955

On the inefficiency of negative feedback in Russian morphology L1 acquisition

2019· article· en· W2950323690 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFirst Language · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalCentre for Research on Brain Language and Music
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyVerbInefficiencyRepetition (rhetorical device)Negative feedbackControl (management)AudiologyCorrective feedbackInterval (graph theory)Feedback controlComputer scienceMathematicsLinguisticsMedicineArtificial intelligenceMathematics education

Abstract

fetched live from OpenAlex

This study investigates negative feedback effects on inflectional morphology acquisition in Russian. In order to examine the effects of adult feedback on child error elimination and assess the lasting effect of feedback, a series of elicited tasks was conducted with 65 Russian children aged from 3 to 4 years. Twelve verbs which undergo overregularization in the non-past tense resulting from applying the yod /j/-pattern were used as stimuli. The experiment was repeated over four sessions with bi-weekly intervals between sessions 1, 2, 3 and a four-week interval between sessions 3 and 4. Four groups of participants were formed with three types of feedback (Correction, Clarification Question and Repetition), and a control group without feedback. No significant differences were observed between groups with different feedback types, or even without feedback. This finding supports the general hypothesis that negative feedback is not a strong driver of recovery from overregularization errors in verb acquisition.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.999

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)0.0180.002

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 head0.007
GPT teacher head0.252
Teacher spread0.245 · 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