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Record W2577250387 · doi:10.3138/utlj.4041

Commodification and the allocation of care and responsibility for children

2017· article· en· W2577250387 on OpenAlexaffvenue
Wanda Wiegers

Bibliographic record

VenueUniversity of Toronto Law Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCommodificationNexus (standard)Context (archaeology)CashSociologyLaw and economicsPublic relationsBusinessPolitical scienceEconomicsEconomyHistory

Abstract

fetched live from OpenAlex

The author examines selected cases in three contexts that raise issues related to the commodification of child care and custodial authority. In traditional legal terms, the cases examined deal directly or indirectly with issues of standing and the best interests of children and, in the third context, with claims of discrimination. All three scenarios involve claims by persons who were neither birth nor adoptive parents of the children in question and thus cared for children outside the bounds of conventional family formations and traditional sources of parental authority. All three contexts raise questions regarding the implications of a cash nexus and contractual basis for the care of children. The author argues that the significance of commodification or a cash or contractual nexus must be assessed contextually and identifies specific factors within each context that should have a bearing on the legal implications of commodification. However, the contradictions for caregivers and risks of disrupted attachments for children can only be fully addressed by changing the background conditions of care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.069
Scholarly communication0.0070.006
Open science0.0010.014
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.324
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes2
Has abstractyes

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