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Record W4224284841 · doi:10.1093/ct/qtac002

Narrating the Field of Communication Through Some Female Voices: Women’s Experiences and Stories in Academia

2022· article· en· W4224284841 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCommunication Theory · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
FundersFundación BBVA
KeywordsHarassmentLegitimacyField (mathematics)HegemonyGender studiesSociologyMythologyResistance (ecology)IntersectionalityNarrativeInequalityMedia studiesPolitical scienceSocial psychologyPsychologyHistoryLawPoliticsLiterature

Abstract

fetched live from OpenAlex

Abstract The field of communication has been constructed through primarily masculinized stories, such as the myth of the “founding fathers,” a situation that has tended to exclude the views and figures of female researchers. This article tries to remedy this by recovering the voices of women via eight in-depth interviews among prominent researchers (second-generation, 1960s–1970s) from Australia, Brazil, Canada, France, Italy, the UK, and the US. The results illustrate the inequality, sexual harassment, lack of legitimacy, and stereotypes faced by these women, and their strong emotional leadership. Their stories of success show how academia is a field of struggle where hegemony, domination, and resistance coexist. However, female experiences in academia are diverse and complex. That is why the article concludes with the need to continue tracking the stories of so many different women as knowing subjects, as well as the challenges of intersectionality in the epistemological construction of the field.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.092
GPT teacher head0.358
Teacher spread0.266 · 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