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Record W7055411995

Citizens of Tomorrow, Today: Political Futurity and Youth Citizenship in a High School Student Council

2019· other· en· W7055411995 on OpenAlexaboutno aff

Bibliographic record

VenueYorkSpace (York University) · 2019
Typeother
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
Fundersnot available
KeywordsPretextCircumstantial evidenceNucleofectionGestational periodTSG101Hyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Student councils are ubiquitous in North American high schools, and yet, they are often overlooked as a site of youth citizenship and student leadership. This dissertation explores the affective dimensions of youth citizenship and student leadership, focusing on a student council in an urban high school in Canada. Based on a 15-month ethnography, the dissertation claims that affective orientations toward politics and young people are often at odds with the developmental and relational realities of being a young person. Through analysis of participant observations, interview transcripts, and texts, the study draws attention to the way that the relationships that structure schooling circumscribe young peoples citizenship and leadership. Drawing on theories of affect and political theory, the study focuses on three areas toward which the young people in the studys political lives were oriented: infantile citizenship (Berlant, 1997), authority and political conflict, and happy diversity (Ahmed, 2012). The dissertation concludes with a call for educators, policy-makers, and scholars interested in childhood and youth to consider the political and affective conditions that propel impulses to improve upon young peoples enactment of citizenship in terms of the attachment to the promise of young peoples political futurity.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.207
Teacher spread0.179 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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