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Record W4404723860 · doi:10.5296/ijsw.v11i2.22269

The Somali Transnational Collaborative Project (STCP) Capacity Building (CB) Through Social Work Education

2024· article· en· W4404723860 on OpenAlexaff
Nimo Bokore, Mukhtaar Caabi, Allan Moscovitch, Mitra Rahimpour, M. Ragheb

Bibliographic record

VenueInternational Journal of Social Work · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsCarleton University
Fundersnot available
KeywordsSomaliWork (physics)Capacity buildingPolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

Social work as a profession has the tools necessary to support and bring together not just communities but nations due to its ability to recognize and meet the needs of the people. The profession is relatively new to African countries, including Somaliland, with many of its current-day theories being borrowed from the West. We began our collaborative project in mid-2000, believing that social work in Somaliland can foster growth and nationwide capacity building. The project included the development of a Bachelor of Social Work (BSW) program that began in 2008 and a Master of Social Work (MSW) currently in the works. In addition to developing these programs, we have been conducting qualitative research and short surveys since 2020, focusing on the role of social work in Somaliland, the employment prospects for graduates and the benefits of indigenizing the education and expanding it to the MSW level. Our findings show the contribution of social work education and practice in addressing the specific issues related to poverty, religion, gender-related issues, disability rights, and caring for children or older adults and the need for a graduate level to address issues such as mental health and policy development. We also found that social work education and practice, despite the region's economic challenges and as a new and previously unknown discipline based on Western knowledge, contributed to the overall well-being and capacity building of the people in the area.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0040.001
Scholarly communication0.0010.001
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 head0.047
GPT teacher head0.414
Teacher spread0.367 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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