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Record W1166871927 · doi:10.18297/etd/890

Girls with guns : the disarmament and demobilization of female ex-combatants in Africa.

2014· dissertation· en· W1166871927 on OpenAlexfundno aff
Emily Maiden

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
FundersNordiska AfrikainstitutetUniversité de GenèveYork UniversityUNICEF
KeywordsDemobilizationDisarmamentCombatantPeacemakingPeacebuildingPolitical sciencePeacekeepingInternational communityLawCriminologySociologyPolitics

Abstract

fetched live from OpenAlex

Since the passing of U.N. Security Council Resolution 1325, states recovering from violence have worked to integrate females into peacemaking and peacebuilding processes. However, many states—particularly in Africa—struggle to craft policy that properly integrates female ex-combatants into disarmament, demobilization and reintegration (DDR) programs. Much of the literature on this subject focuses on how women and girls are reintegrated and rehabilitated into civilian society. However, the first vital steps in the DDR process are disarmament and demobilization. Utilizing the Peace Accords Matrix, I analyze a number of recent cases in Africa to examine ways in which DDR policy can be improved to provide females with better, safer access to the cantonment sites where the DDR process initiates. The most important changes that must take place include expanding the definition of “combatant” to include those who are not armed and removing the label of “dependent” from female ex-combatants.

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)0.000
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 score0.336
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.304
Teacher spread0.272 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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