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Record W2906391626

Newcomers, Creative Spaces, and Connection Through Art

2018· article· en· W2906391626 on OpenAlexaffabout
Leah Lewis, Heather McLeod, Xuemei Li, Haley Toll

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSocial psychologyGender studiesSociologyRefugeePopulationStereotype (UML)Identity (music)CommodificationPsychologyAestheticsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Call to Support NewcomersHistorically, the island of Newfoundland has had a culturally homogeneous population.For this reason, newcomers report a distressing insider/outsider dynamic of disconnect and challenges accessing local social support systems (Anderson, 2012;Baker, Price, & Walsh, 2015;El-Bialy & Mulay, 2016;Li, Doyle, Lymburner, & Ghadi, 2016).This is disconcerting, as a scoping review conducted by Guruge and Butt (2015) found that post-migration experiences of discrimination and othering are as important as traumatic pre-migration experiences in determining mental health variance in newcomers.Indeed, moving to a new country is challenging in itself, beyond experiencing loss of the familiar, culture shock, and discrimination.Cultural bereavement, defined as experiencing the "loss of identity, culture, home, familiar surroundings, and loss of family and friends" (Ishafani, 2008, p. 79), may negatively impact an individual's wellbeing.However, it is important to emphasize the resiliency of newcomers when relocating to a new country and not stereotype refugees as "helpless victims that need to be studied, uplifted, and cured" (Guruge, Hynie, Shakya, Akbari, Htoo, & Abiyo, 2015, para. 1) Nonetheless, preventative, inclusive, welcoming, and strengths-based social support that recognizes newcomers' profound experiences of resettling in a new country is needed in Canada (Simich, Beiser, & Mawani, 2003).Towards Recovery, a recent all-party report on the need for expanded mental health services in Newfoundland, issued urgent recommendations for accessible frontline services to provide preventive programming at grassroots community levels (Government of Newfoundland and Labrador, All-Party Committee on Mental Health and Addictions, 2017).While traditional forms of art therapy often effectively merge art within and as a therapeutic process, the framework locales of existing counselling and psychotherapy models are not always accessible.Public mental health services, such as Art Therapy services, typically involve lengthy waitlists, addressing complex psychiatric diagnoses.Private services, although quicker to access, are often not affordable to unemployed and underemployed people.Obstacles increase for newcomers due, in part, to language barriers and mental health stigma (Durbin, Lin, Moineddin, Steele, & Glazier, 2014; Saunders, Gill, Holder, Vgod, Kurdyak, Gandhi, & Guttmann, 2018).Moreover, cultural and identity differences may present other barriers to accessing services (Reitmanova & Gustafson, 2008).

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)0.004
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.028
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.022
Scholarly communication0.0130.007
Open science0.0010.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0200.001

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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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