Corrigendum: Early attachment and the development of social communication: A neuropsychological approach
Bibliographic record
Abstract
Corrigendum on: Jethava, V., Kadish, J., Kakonge, L., & Wiseman-Hakes, C. (2022). Early Attachment and the Development of Social Communication: A Neuropsychological Approach. Frontiers in Psychiatry, 613.In the original article, the following references were incorrectly cited and should be deleted:• 34. Duffy SN, Craddock KJ, Abel T, Nguyen PV. Environmental enrichment modifies the PKA-dependence of hippocampal LTP and improves hippocampus-dependent memory. Learn Mem. (2001) 8:26-34. doi: 10.1101 The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.A) In the original article, the following articles were not cited:• Hanno E, Surrain S. The direct and indirect relations between self-regulation and language development among monolinguals and dual language learners. Clinical Child and Family Psychology Review. ( 2019 The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. (1995)
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 teacher head, 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".