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Record W3119666748 · doi:10.5212/retepe.v.5.16900.021

Political education against inequalities and citizenship for democracy: international scientific literature review after twenty years of neoliberalism (1999-2019)

2020· article· en· W3119666748 on OpenAlexaff
Gustavo de Oliveira Figueiredo, Henry A. Giroux

Bibliographic record

VenueRevista de Estudios Teóricos y Epistemológicos en Política Educativa · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsMcMaster University
FundersUniversidade Federal do Rio de JaneiroCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsCitizenshipPoliticsDemocracyNeoliberalism (international relations)SociologySocial sciencePublic sphereStructural inequalityPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper discusses the role of citizenship and political education in the contemporary society. It analyses the consequences of neoliberalism regarding its assault on the social sphere and its production of mass inequality around the world. We initiate the conversation by making education central to politics, culture as the key tool that helps us to analyze the meanings of citizenship. The privatization of citizenship narrows the debate around the role of the citizen, the public sphere and undermines democratic values. The goal of this research is to try and understand whether political education can reduce social inequality or not, and how the presence of an informed and politically engaged culture helps create the agents necessary for a substantive democracy. The chosen method enables the production of an international literature review with a systematic bibliographic search, exploring the meanings and scientific uses of the categories Political Education, Social Inequality, Citizenship and Democracy after many years under the neoliberalism hegemony around the globe. This research was conducted via the following databases: Google Scholar; Networked Digital Libraries of Theses and Dissertations (NDLTD); Education Research and Information Center (ERIC) and Scientific Electronic Library Online (SciELO). It includes papers written in English, Spanish and Portuguese which publishing dates range from 1999 to 2019. A total of 51 articles were selected to compose the analytic corpus (n=51). After reading all of the texts and making a content analysis, the results were presented in 3 categories: i - Citizenship education and political education: theories and practices (Conceptual approaches on citizenship and Students’ capacity for political or moral reasoning fostered by political education); ii - Politics, human rights & democratic values in education (Critical approaches of human rights or democratic values on higher education; Popular education or citizen participation on political education and Politics as a teaching or learning tool for formal education); iii - Relationships among State, citizens and civil society (Positive relationships in contemporary societies and Conflicts in adult education). Under neoliberalism, civic culture, democratic values and informed dialogue atrophied. Clearly, this is partly due to the dominant neoliberal view that social agency is dangerous and needs to be shaped by neoliberal forms of education. Under the reign of neoliberalism, there has emerged a pedagogical machinery of power engaged in producing a culture of manufactured ignorance that works to produce a form of political repression. However, as an alternative, many pieces of research are arguing that education must empower citizens to engage in their communities as a method to learn, engage in individual and collective action, and how to participate in political struggles and public affairs. Political education can be an important social movement against the inequalities. That seems to be crucial for building a direct and participative citizenship in our contemporary democracy.

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)0.010
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0250.038
Science and technology studies0.0020.003
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.335
Teacher spread0.311 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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