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Record W2808316121

Charitable work in a developing region: why humanitarian work is mostly in the hands of foreign organizations in Africa

2018· article· en· W2808316121 on OpenAlexaboutno aff
Wilberforce Kurevakwesu, Adam T. Mukushi

Bibliographic record

VenueAfrican Journal of Social Work · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitarian aidWork (physics)Political scienceUnderdevelopmentEconomic growthPoliticsDevelopment economicsLawEconomicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Humanitarian work in Africa is mostly in the hands of foreign humanitarian actors. This paper looks at a number of factors contributing towards this situation and possible ways that Africa as a developing continent can use to avert this situation. Most humanitarian organizations are linked to the West, particularly the United Kingdom, USA, Canada, Denmark, Germany and Norway. Humanitarian organizations are organizations that offer humanitarian aid in humanitarian crises and they can be intergovernmental organizations or international private and voluntary organizations. In most humanitarian situations in Africa, Western humanitarian bodies are more active. The United Nations, as an inter-governmental body, is also responsive to Africa’s humanitarian crises with its subsidiary bodies like UNICEF, UNDP, WHO and FAO. The existence of foreign humanitarian organizations in Africa’s humanitarian industry indicates the existence of various gaps and weaknesses in the social, economic and political fabrics of Africa. Therefore, this paper discusses the main reasons why the African humanitarian industry is in foreign hands and provides recommendations on the way forward for the developing continent. Keywords: humanitarian work, foreign organizations, underdevelopment, dependency

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.284
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.009
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.278
Teacher spread0.237 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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