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Record W2604460828

Culturally Competent Health Promotion as a Social Inclusion Mechanism: A Study of Ontario Community-Based AIDS Service Organizations

2010· dissertation· en· W2604460828 on OpenAlexaboutno aff
Alexandra Stief

Bibliographic record

VenueUWSpace (University of Waterloo) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsMechanism (biology)Inclusion (mineral)Promotion (chess)Public relationsService (business)Social workMedicinePolitical scienceNursingSociologyBusinessGender studiesMarketingPolitics
DOInot available

Abstract

fetched live from OpenAlex

Ontario is a culturally diversified society. Its population composition has changed drastically in the past few decades to include large numbers of individuals with cultural norms differing from that of the majority. This poses challenges to public health, such as HIV prevention. Identifying practices that promote social inclusion in these communities is an important step toward the maintenance of cultural diversity and elimination of social exclusion. Culturally competent health promotion is one example of socially inclusive practices. Cultural competence refers to practices that take into consideration the cultural and linguistic nuances of a specific community or group. 
\nThis thesis will be guided by the research questions: (1) What are the main health promotion practices of Community-based AIDS Service Organizations (CBAOs)? (2) How do the activities of these organizations promote social inclusion? This thesis uses qualitative methodology to study the CBAO as the unit of analysis. Data were collected from operators at three ethno-cultural CBAOs in Ontario: South Asian; Black, African, and Caribbean; and Portuguese. CBAOs are organizations within the community that provide HIV prevention resources, as well as support for persons living with HIV/AIDS in the community. The practices demonstrated at CBAOS in these communities illustrate three related mechanisms present that promote social inclusion: (a) community networking, (b) community knowledge and involvement, and (c) community-specific resources. These mechanisms can be used to inform practices at other community-based organizations in Ontario.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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 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
Published2010
Admission routes1
Has abstractyes

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