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Record W4282546251 · doi:10.1002/fea2.12095

Generations

2022· article· en· W4282546251 on OpenAlexaff
Sahana Ghosh, Megha Sharma Sehdev

Bibliographic record

VenueFeminist Anthropology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsConcordia University
Fundersnot available
KeywordsKinshipSituatedGenerativitySociologyEthnographyEpistemologyEmbodied cognitionInheritance (genetic algorithm)Lineage (genetic)Gender studiesGenealogyAnthropologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract The notion of generations runs through feminist theory, rendering it singular and disciplining its proper subjects—but might there be modes of generational thought that explode the bounds of linearity and propriety, offering ways to think of kinship and generativity amid and despite conditions of violence? Drawing on ethnography situated in South Asia, and the gendered insights that emerge from it, we reflect on feminist knowledge as a site of kinship that complicates any simple picture of inheritance and lineage. Affiliations of thought, practice, and relating might be characterized instead by a range of gendered practices which are constituted by, and draw attention to, modes and processes such as gathering and dispersal; impasse and reconnection; and recognition and uncertainty.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0870.012

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 head0.045
GPT teacher head0.361
Teacher spread0.316 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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