EARLY COMMUNICATION INDICATOR-PORTUGAL: EVIDENCE FOR ITS USE IN ASSESSING AND MONITORING COMMUNICATION IN YOUNG CHILDREN
Bibliographic record
Abstract
The need for effective, globally validated tools to assess and monitor communication in early childhood has led different populations to explore and adapt tools that have already been validated in other countries and languages. A promising tool to support the assessment and monitoring of early communication is the Early Communication Indicator (ECI), developed in the USA. The ECI has recently been adapted for the Portuguese population, and the aim of this paper is to describe its characteristics and report the results obtained with Portuguese children aged between 6 and 42 months, presenting evidence for its use in assessing and monitoring communication in Portuguese children at an early age. This evidence shows the sensitivity of the ECI-Portugal in capturing the changes that occur throughout the communicative development of Portuguese children in the early years, and in identifying differences between children with and without communication disorders. Further research is needed to advance the development of the ECI in the Portuguese context. Consequently, a discussion of the research and practical steps needed to move this project forward is presented. Article visualizations:
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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 | 0.021 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".