MétaCan
Menu
Back to cohort
Record W3199748403 · doi:10.18357/ijcyfs123-4202120333

EXPLORING THE CYC CIS-TEM: A LITERATURE REVIEW OF QUEER AND TRANS TOPICS IN CHILD AND YOUTH CARE

2021· review· en· W3199748403 on OpenAlexaffvenue
Mattie Walker

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2021
Typereview
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsQueerQueer theoryDiversity (politics)Gender studiesField (mathematics)Gender diversitySociologyAnthropology

Abstract

fetched live from OpenAlex

Although Child and Youth Care (CYC) sees itself as a field that embraces diversity and complexity, there is a notable lack of discussion of sexual and gender diversity: queer and trans topics are rarely taken up across CYC research, practice, and pedagogy. Through a systematic literature review of articles published between 2010 and early 2020 in six journals with a focus on CYC practice, research, and theory, this article assesses how queer, trans, Two-Spirit, and nonbinary identities and topics are being discussed in the current CYC literature and reveals a conspicuous absence of publication on these topics. In a 10-year period, across six CYC publications comprising over 4000 published articles, only 36 articles focused on queer and LGBT issues (by covering both sexual and gender diversity) and, of those, only eight articles specifically focused on gender diversity or trans topics. No articles were found within any of the reviewed publications that specifically focused on Two-Spirit identities or topics and only one article mentioned nonbinary identities. Through exploring how and where queer and trans, Two-Spirit, and nonbinary identities and topics are being discussed, this review asks how we as a CYC field might begin to make space for these topics within our field and practice, in order to work towards social change that shifts our field and challenges the cis-heteronormative CYC system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.746
Threshold uncertainty score0.500

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 science0.0000.000
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 head0.102
GPT teacher head0.355
Teacher spread0.253 · 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 designOther design
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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Child Youth and Family StudiesSame topicChild Welfare and AdoptionFrench-language works237,207