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Record W2491617973 · doi:10.1057/9780230119611_3

Constructing the Good Youth Citizen: A History of the Present

2011· book-chapter· en· W2491617973 on OpenAlexaboutno aff
Jacqueline Kennelly

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyCitizenshipContext (archaeology)ConstitutionPoliticsDemocratic idealsPolitical scienceState (computer science)SociologyEpistemologyLawHistoryPhilosophy

Abstract

fetched live from OpenAlex

The historicized context within which today's youth activists come to their practices consists of almost impossibly complex layers of personal and family histories, regional and national histories, global flows of migration and trade, and multiple other influences and effects. Thus, the task this chapter sets out to achieve is, in many ways, an impossible one: to understand the contemporary construction of Citizen Youth through a history of the present. Nonetheless, this chapter aims to rise to the challenge posed by Wacquant, of historicizing "everything having to do with democracy," including, in this case, the constitution of those individuals who make up a democracy, its citizens. The slice of history the chapter draws on for this task is that of citizenship education as it has evolved within the particular liberal democratic state of Canada. In doing so, I am attempting to answer the question that Hava Gordon (2010) poses within the U.S. context: "[What] role [does] schooling [play] in constructing youth as citizens-in-the-making rather than as actualized political forces in their own right?" (60). I tackle this question through an interpretive tool adapted from Paul Ricoeur's phenomenological notion of the "detour."KeywordsAboriginal PeopleCitizenship EducationGood CitizenCivic EducationPublic School SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.109
GPT teacher head0.290
Teacher spread0.181 · 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 designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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