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Record W7132933032

Surviving and thriving following resettlement in a regional city:Insights from communities with refugee-backgrounds in Wagga Wagga

2021· other· en· W7132933032 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCharles Sturt University Research Output (CRO) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsFuture Earth
FundersCharles Sturt University
KeywordsThrivingRedressRefugeeContext (archaeology)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

This report presents findings from a research project, ‘Community perspectives on health and wellbeing for people from refugee-backgrounds resettled in regional areas’, focusing on the regional city of Wagga Wagga from 2019-20. The aim of this project was to engage with people from local refugee communities to explore their resettlement experiences and how these experiences relate to health and wellbeing issues. A co-design methodological approach was adopted as a way to meaningfully involve community members in the design, implementation and evaluation phases of the project. As such, the project represented an approach that was conducive to supporting communities to speak on their own behalf, to redress marginalisation, and to generate insights and understanding about complex health-related issues experienced by refugee communities.

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.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.003
Research integrity0.0010.004
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 head0.116
GPT teacher head0.318
Teacher spread0.203 · 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