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Record W2801712053 · doi:10.1515/jtm-2018-0002

The use of the Rotterdam Transition Profile: 10 years in review

2018· article· en· W2801712053 on OpenAlexaff
Sofía Zhang-Jiang, Jan Willem Gorter

Bibliographic record

VenueJournal of Transition Medicine · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGrey literatureMEDLINEConstruct (python library)Inclusion (mineral)Systematic reviewPsychologyThe InternetTransition (genetics)Computer scienceData scienceApplied psychologyGerontologyMedicineWorld Wide WebSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract The aim of this literature review was to describe the use and utility of the Rotterdam Transition Profile (RTP), as we near the tenth year since its publication in 2008. It is a tool to summarize a youth’s transition process to adulthood by classifying various domains of participation and health care into developmental stages. This review provided a comprehensive synthesis of available knowledge on the RTP by summarizing published and grey literature. Using search terms related to transition, social participation, and questionnaire, a systematic search was conducted for literature up to November 2017 in MEDLINE and Embase databases, and was supplemented with a hand-search using Google Scholar and a general internet search using Google Search. Inclusion criteria were specified to determine the papers selected for review, yielding fifty-five materials for detailed review. Combined analysis of published and grey literature identified nine papers that used some form of the RTP as a measure, 18 materials that cited the RTP or its domains but did not employ it as a measure, and twenty-eight materials that cited the original RTP development and validation paper for information not directly related to the RTP. The literature demonstrated that the RTP seems to be a useful tool to describe and monitor the transition process of adolescents and young adults, in both research and clinical settings. While it has been used with youth of 14–31 years of age across genders and health conditions, more evidence is needed to demonstrate its psychometric properties beyond construct validity in young adults with cerebral palsy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.137
GPT teacher head0.444
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 designNot applicable
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

Citations6
Published2018
Admission routes1
Has abstractyes

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