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Record W7133153297 · doi:10.5281/zenodo.18820718

Access Denied: Barriers to Legal Redress in Urban Slums of Senegal 2005

2005· article· en· W7133153297 on OpenAlexaboutno aff
Sabrina Faye, Djamila Niangue, Ibrahima Sow, Amadou Tamsir Diop

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsRedressFocus groupGovernment (linguistics)Economic JusticeSlumQuarter (Canadian coin)Local governmentFace (sociological concept)

Abstract

fetched live from OpenAlex

Access to justice is a critical issue in urban slums of Senegal, where vulnerable populations face significant barriers to legal redress. Qualitative research methods were employed, including structured interviews with community leaders, focus group discussions with residents, and secondary data analysis of existing legal documents and reports from local government agencies. Interviews revealed that the lack of accessible legal aid services was a significant barrier to justice for urban slum dwellers. A quarter of respondents reported difficulties in accessing legal assistance due to cost or proximity issues. Urban slums in Senegal face substantial barriers to accessing legal redress, primarily stemming from inadequate legal aid infrastructure and socio-economic disparities among residents. The study recommends the establishment of more accessible legal aid centers and training programmes for community leaders to facilitate access to justice. Additionally, greater government investment in urban infrastructure is suggested to reduce geographical barriers.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.052
GPT teacher head0.355
Teacher spread0.302 · 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 designObservational
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
Published2005
Admission routes1
Has abstractyes

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