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Record W2898349600

Homelessness in a Resource-dependent Rural Community: A Community-based Approach

2018· article· en· W2898349600 on OpenAlexaffvenueabout
Pushpanjali Dashora, Shiva Kiaras, Solina Richter

Bibliographic record

VenueJournal of rural and community development · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsParticipatory action researchSociologyResource (disambiguation)Citizen journalismLibrary sciencePolitical scienceHumanitiesGeographyAnthropologyArt
DOInot available

Abstract

fetched live from OpenAlex

Research surrounding the experiences of homeless individuals living in rural resource-dependent towns is lacking in the literature. In order to understand the needs and experiences of the homeless adults, it is useful to consider their needs from their own perspectives as well as those who provide services to them. Guided by the principles of participatory research methodology with marginalized individuals, this exploratory study seeks to gain an in-depth understanding of homelessness in a resource-dependent town by using a community based visual research method. Fifteen homeless adults and eight stakeholders were included as participants in this study. Findings of the study show that the use of a community based visual methods approach provided the homeless participants a platform to be heard. The homeless participants shared their needs and a variety of challenges that are unique to a boomtown. The results of the study also reveal that a community-based methodology is useful in communication between stakeholders and homeless participants. Keywords: homelessness, rural Canada, resource-based towns, services, community-based visual research method ------------------------------------------------------ L'Itinerance dans une Communaute Rurale Dependante des Ressources: une Approche Axee sur la Communaute Il y a peu de recherche sur les experiences des sans-abris vivant dans des villes rurales dependantes des ressources. Afin de comprendre les besoins et les experiences des adultes sans-abris, il est utile de considerer leurs besoins de leur propres perspectives ainsi que celles qui leur fournissent les services. En partant des principes de la methodologie de la recherche participative avec des individus marginalises, cette etude exploratoire cherche a acquerir une comprehension approfondie de l'itinerance dans les villes dependantes de ressources en utilisant une methode de recherche visuelle basee sur la communaute. Quinze adultes sans abris et huit acteurs furent inclus dans cette etude. Les resultats de l'etude montrent que l'utilisation d'une approche par les methodes visuelles basees sur la communaute ont fourni aux participants sans-abris une plateforme pour etre ecoutes. Les participants sans-abris ont partage leurs besoins et une variete de defis qui sont uniques a une ville en plein essor. Les resultats de l'etude ont aussi revele qu'un nouveau modele communautaire est utile en communication entre les acteurs et les participants sans-abris.

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)0.005
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: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0140.008
Scholarly communication0.0060.003
Open science0.0030.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.365
Teacher spread0.292 · 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

Citations1
Published2018
Admission routes3
Has abstractyes

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