Academic careers in Spanish geography: a gender perspective
Bibliographic record
Abstract
The aim of this article is to study the experiences of women’s and men’s professional careers within Spanish Geography departments, a professional space that is becoming increasingly competitive and masculine. Within this context, the presence of female geographers is decreasing in relative numbers and their professional status is not improving. In 1988 we published a survey of the situation of women geographers in the academic structure of Spanish universities and we found that their presence was quite significant (about a third of the teaching staff, although concentrated in low positions), in particular if compared with Anglophone geography. Nevertheless, in the present this appraisal should be modified as the proportion of geography staff who are women is falling, in particular in the young cohorts and the gendered bias in the assessment of academic achievements is leading to a masculine model of the academic career. The present research project was carried out with quantitative and qualitative methods, though in this article we mainly include the qualitative data and the quantitative data are only used to provide a general context. This qualitative analysis was based on in-depth semi-structured interviews to faculty staff of several Geography Departments. The research also draws upon male academic’s accounts to compare the «masculine» and the «feminine» professional career. The fieldwork has been carried out from 2007 to 2010 and it included in-depth interviews with a total of 58 people from the staff of the twelve universities (almost a quarter of the total of the geography staff of those universities). Of this total, 44 were women and 14 were men. All of them held permanent positions as associate or full professors, the two basic permanent categories in Spanish Universities. The main criteria for inclusion in the sample were age, family situation and professional status within academia. The largest age group is that between 46 and 60 years of age. Some features relevant for our research are that: (i) a majority of middle aged women have a partner and the single
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".