MétaCan
Menu
Back to cohort
Record W2573329738 · doi:10.21659/rupkatha.v8n4.05

The Body Move: Revising Portuguese Female Poetry of the First Quarter of the Twentieth Century

2017· article· en· W2573329738 on OpenAlexaboutno aff
Isabel Pinto

Bibliographic record

VenueRupkatha Journal on Interdisciplinary Studies in Humanities · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryScrutinyPortugueseLiteratureIdentity (music)HistoryPoliticsMonarchyQuarter (Canadian coin)MainstreamFeminismMeaning (existential)Gender studiesSociologyLawAestheticsArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The first quarter of the twentieth century in Portugal was characterised by a series of important historical and political events: the Regicide (1 st February 1908), the fall of the Monarchy and establishment of the Republic ( 5th October 1910), and the First World War (1914)(1915)(1916)(1917)(1918).By this time, women could not yet vote and they were systematically ignored in the debate of crucial social issues.Therefore, the main question here addressed is how poetry as free embodiment can take part in a gender revolution, promoting the feminist turn.The answer lies in the consequent breakout of female sentimental literature, which entitled women to reveal themselves, by enabling the poetic scrutiny of their intimacy through a particular focus on the body as prime referent.In this way, they dared to expose dreams, desires, fulfilments and despairs, firming an identity pact through poetry, and engendering a collective voice with social meaning.The published poems here analysed convey the idea that being a woman was something valuable and unique, and, at the same time, manage to inscribe female poets such as Virgínia Vitorino and Zulmira Falcarreira in the Portuguese intellectual mainstream.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.010
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.101
GPT teacher head0.412
Teacher spread0.311 · 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
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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRupkatha Journal on Interdisciplinary Studies in HumanitiesSame topicGender, Sexuality, and EducationFrench-language works237,207