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Record W4390206075 · doi:10.1002/ejsp.3020

Locational citizenship, exclusion and inclusion. The case of street children in Ethiopia

2023· article· en· W4390206075 on OpenAlexaff
Dereje Adefris, Kuany Gatbel, Sigrun Marie Moss

Bibliographic record

VenueEuropean Journal of Social Psychology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsCitizenshipInclusion (mineral)Space (punctuation)Social exclusionKindnessPublic spaceInclusion–exclusion principleSociologySocial psychologyGender studiesPsychologyPolitical scienceLawEngineeringPolitics

Abstract

fetched live from OpenAlex

Abstract Public space is a possible site for grounding a social psychology of citizenship. Locational citizenship speaks to the right to have a place in public space. Certain groups are however often excluded. Drawing on individual interviews and focus group discussions with street children in Gambella Town, Ethiopia, this study explores how street children talk about their lives on the street. The results demonstrate the children's lack of inclusion in locational citizenship, and how public space becomes contested space when different groups use these places in ways that clash. The children also speak to processes of inclusion, both among groups of street children, and kindness from individual adults in their environment. These children's their stories of both exclusion and inclusion are crucial to the developing social psychology of citizenship. The study emphasizes exclusion and inclusion as processes, and the children's active handling of their street life. We also problematizes the division between private and public space when the former is often no longer an available space for these children.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.067
GPT teacher head0.437
Teacher spread0.370 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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