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Record W2251217487

Human Services and Remote Indigenous Communities: Making Room for Diversity and Change

2012· article· en· W2251217487 on OpenAlexaffabout
Dean B. Carson, Rhonda Koster

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsLakehead University
Fundersnot available
KeywordsIndigenousGovernment (linguistics)Diversity (politics)Context (archaeology)Service delivery frameworkService (business)Economic growthService providerHuman servicesPolitical sciencePublic relationsBusinessGeographyMarketingEcologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

This special issue of the Journal of Rural and Community Development considers the challenges to human services delivery in remote Indigenous communities in developed nations such as Australia, Canada, Alaska in the USA, and Europe's remote north. Change in the context in which services are delivered arises not only from the various transitions (demographic, economic, cultural) experienced by Indigenous people, but also from changes in service provision (ageing workforces, increasing access to new technologies, interactions between the government and non-government sectors). The contributing papers to this special issue reflect investigations from across the social sciences disciplines into the dualistic nature of change in the context of remote service delivery. They provide analyses of the similar challenges faced by Indigenous communities and service providers in various jurisdictions. They also offer some insights into how challenges might be addressed through greater understanding of the diversity of experiences and the factors which facilitate and impede change.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.181
GPT teacher head0.287
Teacher spread0.105 · 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.

Study designObservational
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
Published2012
Admission routes2
Has abstractyes

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