Migration Influences on the Allostatic Load of Children: Systematic Review Protocol
Bibliographic record
Abstract
BACKGROUND: Migration is a worldwide phenomenon in recent times. Recently, documented studies suggest that the change in environments involved in migration may have an influence on children's allostatic load related to health and well-being. OBJECTIVE: The aim of this review is to systematically search the extant literature and critically examine the evidence on how migration affects allostatic load in children and describe the relevant methods in measuring allostatic load. METHODS: A systematic review will be conducted to recapitulate the evidence on the influence of migration on allostatic load and describe the methods employed in measuring allostatic load parameters among migrant children using the following search terms combinations: 1) allostasis OR allostatic OR allostatic load OR allosta*; 2) migration OR migrant OR immigration OR immigrant OR migra* OR *migra*; and 3) children OR child* OR adolescen*. We will search for peer-reviewed articles in English using a three-step process: title and abstract review, individual article review, and reference hand-searching among the following databases: Medline, CINAHL, ProQuest, PubMed, Science Direct and BioMed Central. Two independent review authors will analyze for data quality, level of evidence and risk of bias; a third review author will be consulted if consensus cannot be met. Data on study details, participant characteristics, allostatic load operationalization and description, methods, and results summary will be extracted. Evidence will be synthesized statistically when possible and narratively clustered into themes. RESULTS: At present, we have conducted only a preliminary search to test out our search terms. The systematic search, appraisal, synthesis and analysis will be finished by June 2018. It is projected that the manuscript that describes the systematic review will be available by the last quarter of 2018. CONCLUSIONS: The results of this systematic review have implications on supporting the concept of allostasis as a mechanism underlying the adaptive processes related to migration. Furthermore, our findings can lead to the development of innovative evidence-informed evaluation and intervention programs aimed at migrant children's needs. Likewise, it is hoped that this review can be an impetus to inform health and sociopolitical policies responsive of migrant children's current contexts. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO): CRD42017068895; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=68895 (Archived by WebCite at http://www.webcitation.org/6wprRkxvA).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.085 | 0.091 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.019 | 0.014 |
| Bibliometrics | 0.020 | 0.015 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.067 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".