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Record W4388703340 · doi:10.1177/13634615231211482

Pilgrimage for an autism diagnosis: A study of Venezuelan parents’ experiences

2023· article· en· W4388703340 on OpenAlexaff
Cecilia Montiel‐Nava, Irina Vargas, Zoila González-Ávila, María Cecilia Montenegro, Ana C. Ramírez

Bibliographic record

VenueTranscultural Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsAutismPsychologyPerceptionDevelopmental psychologyCoping (psychology)Thematic analysisPilgrimageSocioeconomic statusClinical psychologyPsychiatryMedicineQualitative researchPopulationSociology

Abstract

fetched live from OpenAlex

It cannot be assumed that the experience of having an autistic child is the same across countries since demographic and systemic factors are as diverse as the manifestation of ASD symptomatology. This study explores the lived experiences of 20 Venezuelan parents after receiving an autism diagnosis for their child. Applied thematic analysis was used to analyze parental attitudes, challenges in identifying their child's delay, access to diagnostic services, beliefs towards autism, professional evaluations, family support, and perceptions toward health and educational services for autistic children. Venezuelan parents reported a generalized lack of autism awareness, an unsupportive school system, and judgment from their extended family. Despite the universal health coverage in the country, Venezuelan parents commented on the scarcity of services, as well as the lengthy and costly processes to receive an ASD diagnosis. The results support previous research findings showing that socioeconomic factors influence how parents experience the process of obtaining an autism diagnosis for their children. For most Venezuelan parents, it might imply a long journey in which limited resources and knowledge about autism will determine its route and length. For parents, cultural values and spiritual and religious beliefs will serve as both coping mechanisms and barriers to accessing services.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

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

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 head0.119
GPT teacher head0.426
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2023
Admission routes1
Has abstractyes

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