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Record W7084204959

Ways of Belonging:Undocumented Youth in the Shadow of Illegality

2023· book· en· W7084204959 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Portal (King's College London) · 2023
Typebook
Languageen
FieldComputer Science
TopicEngineering and Information Technology
Canadian institutionsnot available
Fundersnot available
KeywordsInvisibilityShadow (psychology)ImpossibilityEthnographyAmbivalenceConversation
DOInot available

Abstract

fetched live from OpenAlex

Ways of Belonging examines the experiences of undocumented young people who are excluded from K-12 schools in Canada and are rendered invisible to the education system. The law doesn’t mention the existence of undocumented children, thus their access to education rests on discretionary practices and is often denied altogether. This book brings the stories of undocumented young people vividly alive, putting them into conversation with the perspectives of the different actors in schools and courts who fail to include these young people. <br/><br/>Drawing on five years of ethnographic fieldwork, Francesca Meloni shows how ambivalence shapes the lives of young people who are caught between the desire to belong and the impossibility of fully belonging. Meloni pays close attention to young people’s struggles and hopes, showing us what it means to belong and to endure in contexts of social exclusion. Ways of Belonging reveals the opacities and failures of a system that excludes children from education and puts their lives in invisibility mode.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.850
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.002
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 head0.057
GPT teacher head0.305
Teacher spread0.247 · 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