Family-Centered Early Intervention Deaf/Hard of Hearing (FCEI-DHH): Introduction
Bibliographic record
Abstract
This article is the first of eight articles in this special issue on Family-Centered Early Intervention (FCEI) for children who are deaf or hard of hearing (DHH), or FCEI-DHH. In 2013, a diverse panel of experts published an international consensus statement on evidence-based Principles guiding FCEI-DHH. Those original Principles have been revised through a coproduction process involving multidisciplinary collaborators and an international consensus panel, utilizing the best available evidence and current understanding of how to optimally support children who are DHH and their families. This revision (referred to as expanded Principles) was motivated by the need to incorporate (a) input from family leaders and DHH leaders, (b) broader international and cultural perspectives, (c) new empirical evidence, and (d) research in human development. This Introduction provides an overview of the rationale, purposes, and main content areas to be addressed throughout the special issue.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".