Explorando los estudios de la revista Gender Work and Organization: una revisión bibliométrica
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.
Bibliographic record
Abstract
This article focused on analysing the publications of Gender, Work and Organization Journal, which has become a space for socialising research on gender relations in organisations since 1994, considering emerging issues in various countries and labour markets in order to contribute to discussions on this subject. This quantitative research used a bibliometric development in which 318 articles corresponding to 18 issues of the journal between 2020 and 2022 were systematised, with the aim of identifying the most outstanding trends and themes in the journal in order to present a context for the academic community interested in publishing in this area of research. From the analysis of the sample, 12 themes were established that contain 53 sub-themes that interrelate problem axes where qualitative research bets related to: diverse gender issues (34%), feminism (12%), intersectionality (10%) and diversity (10%), the categories that complete the remaining 34% had a participation in the total of works between 1% and 6%, highlighting the growing interest in developing analyzes based on intersectionality and the conditions experienced during the Covid-19 pandemic. Also, it was evidenced that of 712 authors, 427 were women and in terms of the institutional affiliation of the authors they continue to be from universities located in Anglo-Saxon contexts such as the United Kingdom, the United States, Canada and Australia, considering that the GWO journal publishes works written in English.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it