Family-Centered Early Intervention Deaf/Hard of Hearing (FCEI-DHH): Methods
Bibliographic record
Abstract
This is the fourth article in a series of eight that comprise a special issue on family-centered early intervention (FCEI) for children who are deaf or hard of hearing (DHH) and their families, FCEI-DHH. This article describes the co-production team and the consensus review method used to direct the creation of the 10 Principles described in this special issue. Co-production is increasingly being used to produce evidence that is useful, usable, and used. A draft set of 10 Principles for FCEI-DHH and associated Tables of recommended behaviors were developed using the knowledge creation process. Principles were refined through two rounds of eDelphi review. Results for each round were analyzed using measures of overall group agreement and measures that indicated the extent to which the group members agreed with each other. After Round 2, with strong agreement and low to moderate variation in extent of agreement, consensus was obtained for the 10 Principles for FCEI-DHH presented in this special issue. This work can be used to enhance evolution of FCEI-DHH program/services and systems world-wide and adds to knowledge in improvement science.
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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 | 0.058 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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.
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".