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Record W2020080572 · doi:10.1080/15524256.2010.529020

Away from Home: Experiences of Mexican American Families in Pediatric Palliative Care

2010· article· en· W2020080572 on OpenAlexaff
Nancy Contro, Betty Davies, Judith Larson, Barbara M. Sourkes

Bibliographic record

VenueJournal of Social Work in End-of-Life & Palliative Care · 2010
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Victoria
FundersNational Institute of Nursing Research
KeywordsPovertyHealth careNursingHomelandPalliative careMedicinePsychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

In this study, the authors describe the experiences of Mexican American family members who immigrated to the United States and then experienced the death of a child. Participants described difficulties they encountered crossing the border, leaving the culture of their homeland, and then caring for a seriously ill child. Key themes that characterized their experience of being far from home included a backdrop of poverty, absence of traditional social support, and challenges caring for healthy siblings. Participants made comparisons between health care in Mexico and the United States and assessed the trade-off they made to come to the United States, discussing access to medical care and how they were able to relate to health care providers. Further, participants conveyed how rituals from their home country were important in maintaining connections with the child who died. Based on these themes, clinical implications and strategies that focus on understanding participants' experiences with past traumas, communication and literacy needs, and the challenges of living in poverty--especially with a critically ill child--are needed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.353
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations33
Published2010
Admission routes1
Has abstractyes

Explore more

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