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Record W2107843936 · doi:10.1177/160940690600500105

Processes of Metastudy: A Study of Psychosocial Adaptation to Childhood Chronic Health Conditions

2006· article· en· W2107843936 on OpenAlexaff
David B. Nichola, Judith Globerman, Beverley J. Antle, Ted McNeill, Lucyna Lach

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2006
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsMcGill UniversityUniversity of British ColumbiaHospital for Sick Children
Fundersnot available
KeywordsPsychosocialAdaptation (eye)PsychologyQualitative researchDevelopmental psychologyIdentification (biology)Applied psychologyPsychotherapistSociologySocial science

Abstract

fetched live from OpenAlex

Metastudy introduces a systematically aggregated interpretive portrayal of a body of literature, based on saturation and the synthesis of findings. In this metastudy, the authors examined qualitative studies addressing psychosocial adaptation to childhood chronic health conditions, published over a 30-year period (1970–2000). They describe metastudy processes, including study identification, strategies for study search and retrieval, adjudication of difference in study design and rigor, and analysis of findings. They also illustrate metastudy components through examples drawn from this project and discuss implications for practice and recommendations.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.269
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.480
GPT teacher head0.669
Teacher spread0.189 · 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 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

Citations22
Published2006
Admission routes1
Has abstractyes

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