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Record W2135762333 · doi:10.5539/ass.v8n5p132

Social Citizenship: Rights, Participation and Responsibilities of Young People

2012· article· en· W2135762333 on OpenAlexvenueno aff
Fauziah Ahmad, Samsudin A. Rahim, Latiffah Pawanteh, Abdul Latiff Ahmad, Mohd Fairul Hisham Zainal, Nur Roziyana Ahmat

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsCitizenshipNegotiationAmbivalencePoliticsCivil societySocial rightsSociologyNationalityDemocracyPolitical scienceSocial responsibilityPublic relationsSocial psychologyLawPsychologyImmigration

Abstract

fetched live from OpenAlex

People often expressed contrasting and ambivalent ideas and feelings about their incorporation in a society; on the one hand, everyone is an equal member of a society; but on the other hand, some members express indifference towards this notion. This research will focus on how Malaysian young people make sense of these seemingly contradictory ideas and practices and how their negotiations and resolutions relate to their social citizenship in Malaysian multi-ethnic society. In order to highlight processes of negotiations and resolutions, this research will look at social, political and civil rights under the banner of social citizenship examining young people’s perceptions and experiences of citizenship. These aspects will provide the framework for discussing how various notions including those of rights as citizens are interconnected and embedded with motives that contribute to and constitute political, social and civil rights that lead to democratic rights, participation and responsibility.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.343
Teacher spread0.315 · 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 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

Citations5
Published2012
Admission routes1
Has abstractyes

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