Application of the preceded model procedures in a family nursing intervention to stimulate oral language in a preschool with delay of the language
Bibliographic record
Abstract
To describe the application of the model Precede-relevant for a family intervention aimed at promoting oral communication and the establishment of standards parenting in a preschool with language delay.Method: Case Study, in which a family analyzed through the model of family assessment Calgary, consisting of a preschool 2 -year delay in the development of oral language, who lives be presented with his mother and grandmother, where There is normalization of the absence of language, lack of stimulation and absence of established norms.Six psycho educational interventions aimed at educating the family on stimulation strategies, the consequences of the lack of stable norms and the lack of stimulation in the language were carried out.The Precede-Procede model was used in order to facilitate the process of change in the family.Results: language preschool increased from one to 30 words in three weeks, this behavior improved and decreased the number of tantrums, strengthening the emotional bond between the child and his mother turn. Conclusion:The application of the model Precede-family proceeds applied facilitated the development of language preschool.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".