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Record W2915183909 · doi:10.15402/esj.v5i1.67846

Identifying Barriers faced by Ottawa Somali Youth in Accessing Post-secondary and Vocational Opportunities: An Example of Community-Based Participatory Research

2019· article· en· W2915183909 on OpenAlexfundvenueaboutno aff
Adje van de Sande, Tara McWhinney, Katherine Occhiuto, Jennifer Colpitts, Ismail Hagi-Aden, Ahmed Hussein, Zoey Feder

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersOntario Trillium Foundation
KeywordsSomaliVocational educationParticipatory action researchPovertyInclusion (mineral)Political scienceFocus groupSociologyMedical educationPublic relationsPedagogyGender studiesMedicine

Abstract

fetched live from OpenAlex

In 2016, with funding from the Ontario Trillium Foundation’s Seed Grant program, the Somali Centre for Family Services of Ottawa (SCFS) invited the Centre for Studies on Poverty and Social Citizenship (CSPSC) at Carleton University to carry out a needs assessment focusing on the barriers faced by Somali youth in accessing post-secondary education and employment training opportunities. The main objective of the needs assessment was to address social and economic exclusion locally by inviting Somali youth (ages 19-30) from the Ottawa area to participate in focus groups to discuss the barriers they have faced in accessing post-secondary education and employment training programs, and to invite their views on the supports needed to address these barriers. The CSPSC and the SCFS agreed that the research would involve a participatory action research approach where members of the Somali and Muslim Community would participate on an advisory committee, and where youth from the Somali Community would be directly involved in all phases of the research. Five themes were identified during the analysis: Barriers to accessing post-secondary education; Barriers to accessing job placements and training programs; Barriers to securing employment; A need for a Somali-focused employment resource centre; A need for Somali youth mentors.

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)0.799
metaresearch head score (Gemma)0.138
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7990.138
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.2080.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.544
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 head0.488
GPT teacher head0.478
Teacher spread0.009 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes3
Has abstractyes

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