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Record W3190207061

The Battle during Peacetime – A Tale of Every Woman

2018· article· en· W3190207061 on OpenAlexaff
Upasana Dasgupta

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMcGill University
Fundersnot available
KeywordsBattleWifeHinduismHistoryPower (physics)GratificationGender studiesSociologyLawPsychologyAncient historyReligious studiesPolitical sciencePhilosophySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

We live in a patriarchal world where being born as a male gives one power. Any impartial study will confirm this hypothesis. However, I do not want to delve into statistics, because, we do not need statistics to know that women are at best given secondary status and at worst, are objects of gratification. Ancient texts in Sanskrit, the oldest living language, portray women as distraction to men in their path of salvation. In Ramayana, the ancient Hindu scripture, Rama, who was an incarnation of God, and revered as one of the wisest kings, made her wife walk through fire twice to prove her chastity, because she had been kidnapped by a neighbouring king. Thus, shaming the woman victim was part of culture as early as 7600 BC. Bible, too, blames Eve for Adam’s sin, though Adam as an adult was capable of taking independent decisions. Subjugation of women in our society is almost as normal as breathing oxygen. No doubt, feminist movements are derided and scorned at, women’s voice are looked upon as nuisance and slightest inappropriate behaviour by women are judged upon. Women are supposed to exist in order to reproduce and to give sexual and social gratification to men. Hence, marital rape is not a criminal offence in many countries in the world including India, China, Indonesia, Kuwait and Singapore. An entire gender has been marginalized since time immemorial and societal norms break their confidence and demolish their self-respect since childhood. A female fights a battle everyday, every moment, indoors and outdoors, with family, friends and strangers. Is this true security where an entire gender is ostracised? This is a question that affects each and every country in the world, though at varying degrees, and is a fundamental human rights issue that needs to be addressed immediately.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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