MétaCan
Menu
Back to cohort
Record W4411071344 · doi:10.1080/02759527.2025.2511421

Remembering to Forget: Wartime Mothers in Tahmima Anam’s <i>A Golden Age</i>

2025· article· en· W4411071344 on OpenAlexaff
Chandrima Chakraborty, S Shabnam

Bibliographic record

VenueSouth Asian Review · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsCapilano UniversityMcMaster University
Fundersnot available
KeywordsHistoryPsychologyAncient historyArt

Abstract

fetched live from OpenAlex

This essay calls for a deeper engagement with the portrayal of wartime motherhood in literary and cultural representations of the Bangladesh Liberation War. Focusing on Tahmima Anam’s critically acclaimed novel A Golden Age, we delineate the simultaneous valorization and erasure of wartime mothers in the context of the dominant nationalist discourse on the Liberation War. The novel traces how the protagonist Rehana navigates the pressures of valiant motherhood thrust upon her and emerges as the celebrated male freedom fighter’s mother through her sacrifices for her son. But as the mother par excellence, Rehana also validates normative codes of gender performativity and effectively inhibits the memorialization of other mothers in the novel. Our analysis illustrates how the novel effectively marginalizes and erases from the narrative plot, and, in turn, from nationalist remembering mothers and women like Sharmeen who is a rape survivor and Supriya who is a Hindu refugee mother displaced from East Pakistan. Our hope is to interrogate the emphatic telling of the glorious birth of the nation made possible by the freedom fighter’s mother and open up spaces for the exploration of the multifaceted contributions by wartime women-as-mothers, who are routinely left out of national commemoration and public mourning.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.253
Teacher spread0.235 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSouth Asian ReviewSame topicSouth Asian Cinema and CultureFrench-language works237,207