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Record W2057310464 · doi:10.1080/0145935x.2012.745782

Child and Youth Care To-Come

2012· article· en· W2057310464 on OpenAlexaff
Scott Kouri

Bibliographic record

VenueChild & Youth Services · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDeconstruction (building)SociologyHospitalityContext (archaeology)Identity (music)Gender studiesMedia studiesPedagogyAestheticsLawPolitical science

Abstract

fetched live from OpenAlex

The intent of this article is to follow deconstruction as a way to think about the questions that are currently being asked in Child and Youth Care (CYC). As a graduate student in the School of Child and Youth Care at the University of Victoria (SCYC), I am challenged to think my position and identity in terms of my location within, or on the borders of, a CYC community. In this article I bring together deconstruction and contemporary issues in CYC to propose a way forward in terms of conceptualizing CYC identities. The first part of this follows deconstructive thinking through an analysis of CYC as a context and the practice of “contextualizing” in CYC. The second movement of the article weaves in the notions of community, community identities, tradition(s) and relationships to demonstrate how linguistic representations may limit our possibilities for theory and practice. I end by proposing hospitality (Derrida, 2000 Derrida , J. ( 2000 ). Hospitality . Journal of the Theoretical Humanities , 5 ( 3 ), 3 – 18 .[Taylor & Francis Online] , [Google Scholar]) as a way to negotiate the borders of CYC and open toward a “Child and Youth Care To-Come.” This article is specifically engaged with the conversations sparked at the Child and Youth Care in Action III Conference and the subsequent special issue of the International Journal of Child Youth and Family Studies, 3(2-3). I situate this critical analysis within the current conversations of my local CYC community and explore how deconstruction can help to open our community to its own future.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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.

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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