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Record W4401112883 · doi:10.37559/meac/24/06

From Al Hol to Hope: Navigating Return and Reintegration Challenges

2024· report· en· W4401112883 on OpenAlexfundno aff
Schadi Semnani, Jente Althuis, Muqadas Samarrai, Melisande Genat, Siobhan O'Neil

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
FundersGlobal Affairs CanadaEidgenössisches Departement für Auswärtige AngelegenheitenUNICEF
KeywordsHOLPsychologyComputer scienceProgramming language

Abstract

fetched live from OpenAlex

About This Series 4About This Report 5 Key findings• The inability to procure or renew civil documentation continues to severely impact the return trajectories of Iraqis returning to their country after time in Al Hol.Respondents from female-headed households in Jeddah-1 Rehabilitation Centre (J-1) remain significantly more likely to report that their family members are missing documentation, especially children.While there has been considerable investment in documentation support in the Centre, governorate policies and practices, in particular changes or lack thereof in administration and judges at the local level, appear to present continued challenges for those trying to acquire or renew documents in some areas of return.• It appears that finding a sponsor is getting easier for J-1 residents.A large majority of residents no longer cite difficulties finding a sponsor as a barrier to leaving the Centre.The type of support offered by sponsors, however, continues to vary enormously, ranging from simply satisfying the minimum requirement of providing transport from the Centre to the area of return to broader support (e.g., help facilitating community acceptance).• Amongst surveyed J-1 residents, there has been an increase in reported support networks (financial and non-financial) and optimism in how they anticipate they will be received by their community upon return.The latter may be driven by feedback from previous returnees who have had positive experiences, but are thought to vary by gender, governorate, and family background.• Reported participation in activities and services in J-1 has increased.In particular mental health and psychosocial support, and skills training have been accessed and considered useful.Considerable challenges remain regarding the participation of women residents, as well as frustrations with the provision and quality of education and medical services.4 Background About MEACHow and why do individuals exit armed groups, and how do they do so sustainably without falling back into conflict cycles?These questions are at the core of UNIDIR's Managing Exits from Armed Conflict (MEAC) initiative.MEAC is a multi-year, multi-partner collaboration that aims to develop a unified, rigorous approach to examining how and why individuals exit armed conflict and evaluating the efficacy of interventions meant to support their transition to civilian life.MEAC seeks to inform evidence-based programme design and implementation in real time to improve efficacy.At the strategic level, the cross-programme, cross-agency lessons that will emerge from the growing MEAC evidence base will support more effective conflict resolution and peacebuilding efforts.

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)0.009
metaresearch head score (Gemma)0.018
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: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0090.008
Open science0.0030.016
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0130.002

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 head0.071
GPT teacher head0.404
Teacher spread0.333 · 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
GenreOther

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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