Introduction to the Special Issue on Gender and Geoethics in the Geosciences
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
In this introduction to the Special Issue on Gender and Geoethics in the Geosciences is a focus on the participation of women in traditionally male-dominated professions, with geography as an exemplary academic subject. The Special Issue stems from the Commission of Gender and Geoethics as part of the International Association of Geoethics, and endeavors to bring together efforts at various spatial scales that examine the position of women in science and engineering in particular, as conveyed in engineering geology, disaster management sciences, and climate change adaptation studies. It has been discovered, for instance, that men are more active and personally prepared at the community level (in Atlantic Canada coastal communities), and more action is still required in developing countries especially to promote gender equality and empower women. Studies contained in this Special Issue also reveal that tutoring and mentoring by other women can promote further involvement in non-traditional professions, such as professional engineering geology, where women are preferring more traditional (less applied) approaches that may circumscribe their ability to find suitable employment after graduation. Moreover, the hiring policy needs to change in many countries, such as Canada, where there are fewer women at entry-level and senior ranks within geography, especially in physical geography as the scientific part of the discipline. The exclusion of women in traditionally male-dominated spheres needs to be addressed and rectified for the ascent of women to occur in scientific geography and in other geosciences as well as science and engineering at large.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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