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Record W2052043094 · doi:10.3167/ghs.2012.050201

The Time of the Girl

2012· article· en· W2052043094 on OpenAlexaboutno aff
Claudia Mitchell, Jacqueline Reid‐Walsh

Bibliographic record

VenueGirlhood Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
Fundersnot available
KeywordsGirlContext (archaeology)Government (linguistics)Human rightsPsychologyPolitical scienceGender studiesSociologyDevelopmental psychologyLawHistory

Abstract

fetched live from OpenAlex

The publishing of the articles in this issue of Girlhood Studies coincides with the global events related to the First International Day of the Girl—11 October 2012. Th is is a day formally declared by the United Nations as the one set aside to articulate the challenges girls face and to promote girls’ empowerment and the fulfillment of their human rights. The actual process of gaining official recognition through the United Nations for a specific day is no small feat. The efforts of organizations such as Plan International and even government bodies such as the Status of Women in Canada were key in making this happen in order to address the need for greater understanding of girl-specific issues. In the global context, for example, girls are three times more likely to be malnourished than boys. Of the world’s 130 million out-of-school youth, 70 percent are girls. In the Canadian context, as the Minister responsible for the Status of Women highlighted in an International Day of the Girl message, young women from the ages of fifteen to nineteen years experience nearly ten times the rate of date violence as do young men. Close to 70 percent of victims of internet intimidation are women or young girls, and girls and young women are nearly twice as likely as young men and boys to suffer certain mental health problems such as depression, and anxiety about body image and self-esteem remains prevalent among girls. Th us, while October 11 is a time for celebration, it is also a time for reflection and a reminder about how much work there is still to do.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.058
GPT teacher head0.346
Teacher spread0.287 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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