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Record W4396780063 · doi:10.7202/1111245ar

Love Letters to My Child in These Hate-Filled Times

2024· article· en· W4396780063 on OpenAlexvenueno aff
Pavithra Vasudevan

Bibliographic record

VenueACME · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

In a series of three letters, Pavithra describes to their unborn child what it’s like to be pregnant. The first conveys the terror of carrying a new being into a violently homophobic and racist world. The second and third letters recall the desire and beauty that the unborn child sparks in them. In the fourth letter, Pavithra writes to Noor Momo, now six years old, reflecting on the realities of parenting amidst ongoing violence and the uncertainties of the COVID-19 pandemic. In this final letter, Pavithra invokes Noor’s aunts: her sister Raksha, and her dear friends Kriti, Batool, Mabel, and Marie. The words Chitthi, Masi, Khala and Chyama refer to “mother’s sister” in Tamil, Hindi, Urdu, and Nepali, respectively.

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)0.008
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.003
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0920.034

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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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Same venueACMESame topicLatin American and Latino StudiesFrench-language works237,207