On the inefficiency of negative feedback in Russian morphology L1 acquisition
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".