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Record W3212857663 · doi:10.1044/2021_ajslp-21-00110

The Childhood Trauma and Attachment Gap in Speech-Language Pathology: Practitioners' Knowledge, Practice, and Needs

2021· article· en· W3212857663 on OpenAlexaffabout

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoison controlIntervention (counseling)Adverse Childhood ExperiencesChild abuse

Abstract

fetched live from OpenAlex

PURPOSE: Previous research demonstrates the relevance of childhood trauma and attachment to communication development. This study aimed to understand speech-language pathology (SLP) practitioners' knowledge, beliefs, training, and current practices regarding developmental trauma and attachment. METHOD: = 97) who work primarily with children from birth to age 6 years in Canada. Quantitative (univariate and bivariate) analysis was performed with SPSS. Qualitative responses were coded by two reviewers using thematic analysis to identify key themes. RESULTS: SLP practitioners are working with children who have experienced trauma and adapt their practice when they are aware of this history. Practitioners also indicated, however, that they lack training with respect to trauma and attachment, their understanding of the concepts is narrow, they do not have standardized practices for obtaining trauma history, and they do not adapt their practice in consistent ways. The results show there is interest in understanding how trauma affects communication development, the relevance to their work, and that additional training is needed to support practitioners to identify and respond to trauma in early childhood. CONCLUSIONS: Findings from this study support SLP practitioners' involvement in early identification of trauma and the development of best practices regarding trauma-informed SLP assessment and intervention. The results also inform how systems and areas of service need to be adjusted to be more accessible, flexible, and collaborative in order to support children and families whose lives have been impacted by trauma and indicate additional areas of research in the area. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.16968097.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.316
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Speech-Language PathologySame topicLanguage Development and DisordersFrench-language works237,207