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Record W6907027019 · doi:10.18712/nsd-nsd2369-v1

Gender and Politics in Somalia: Women's Access and Influence in a Post-Conflict State, 2016

2016· dataset· en· W6907027019 on OpenAlexaboutno aff

Bibliographic record

VenueNSD – Norsk senter for forskningsdata · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsSomaliTransformative learningAgency (philosophy)Corporate governancePower (physics)Transformational leadershipWomen's empowerment

Abstract

fetched live from OpenAlex

The GENSOM project has examined the current dynamics of women's political agency in Somalia by assessing women's access to and influence in leadership roles in society. It has achieved this through in-depth life histories with a wide range of Somali women with leadership roles. Post-independence politics in Somalia has largely been defined by instability, inter-ethnic conflict and state-failure. During the regime of President Siad Barre (1969-1991), women gained greater societal freedom and were encouraged to take on leadership roles, amidst an otherwise increasingly repressive dictatorship. What impact have two decades of conflict had on women's engagement in formal politics and civil society? What access do women have to public office and informal arenas of civil-political engagement? What political influence and decision-making power do women in public office and outside formal governance structures have in Somalia? The GENSOM project consisted of three sub-projects, which studied 1) the history of women in public office and a range of other leadership positions, 2) the level of access women have to formal and informal arenas of power, 3) the influence that women have in Somali politics, particularly in relation to a women's agenda. Women's ability to pursue a women's agenda is affected by the degree of influence they hold, the loyalties they maintain but also by their own perceptions on what a women's agenda encompasses and how it is to be achieved. Looking beyond formal politics, the project studied the many ways in which women are or aim to be leaders, mentors, decision-makers and/or transformative actors. In the course of a little over two years, the project team collected 35 in-depth life histories, 46 interviews and 10 focus group discussions. Interviews were collected in Mogadishu, Garowe, Hargeisa (representing South-central Somalia, Puntland and Somaliland), as well as in Nairobi, Doha, Colombus (Ohio), Toronto, London and Oslo. The project's aim was to contribute new knowledge to a growing body of academic literature of gender studies in the Global South with particular relevance for post-conflict and Islamic states. The research was conducted by the Peace Research Institute Oslo (PRIO) in close collaboration with the Heritage Institute for Policy Studies (HIPS) in Mogadishu, and was set up to contribute to strengthening research capacity in Somalia. A secondary aim was to inform national and donor policies supporting women's political empowerment in Somalia by examining international 'empowerment' approaches within their local context and study how these approaches relate to women's lived experiences in Somalia today. For further information about "Gender and Politics in Somalia: Women's Access and Influence in a Post-Conflict State, 2016", please contact the principal investigator.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.004
Scholarly communication0.0060.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.317
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2016
Admission routes1
Has abstractyes

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