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Record W4383738636 · doi:10.1017/als.2023.4

Making Love Legible: Queering Indian Legal Conceptions of “Family”

2023· article· en· W4383738636 on OpenAlexaboutno aff
Hrishika Jain

Bibliographic record

VenueAsian Journal of Law and Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMandateQueerFamily lawTRACE (psycholinguistics)NormativeLawSociologyFamily lifeConstitutional lawAnnulmentPolitical scienceCommissionGender studiesPhilosophy

Abstract

fetched live from OpenAlex

Abstract The state has historically played favourites—by incentivizing conventional families and clamping down on alternative families like ascetic maths, it ensured that the heteronormative family flourished. I trace the socio-legal histories of families and establish a constitutional imperative for “family equality” located in the rights to religious freedom, privacy, and equal treatment, and propose that it (not marriage equality) drives the queer movement. “Family” must be reimagined beyond marriage in light of the public ethic of care to encompass a vast range of non-normative families like hijra communes. I consider the Canadian Law Commission’s proposals for recognizing “families” and argue that a similar framework is an unrecognized constitutional mandate in India that, once recognized, would render a wealth of laws interacting with family life unconstitutional. The shared socioconstitutional contexts across jurisdictions and the growing convergence of human rights standards could well mean that this will impact legal systems around the world.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.181
Threshold uncertainty score0.360

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0190.067
Scholarly communication0.0120.006
Open science0.0010.006
Research integrity0.0020.007
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 head0.104
GPT teacher head0.387
Teacher spread0.283 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

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