Bibliographic record
Abstract
A gender gap strongly favoring women is occurring in higher education throughout the Arctic and is especially severe among indigenous groups. This study documents the size, nature, and recent increase in the gender gap at the University of Alaska, especially for Alaska Native students. To our knowledge, this is the first study to provide statistical documentation of this phenomenon. We find that among Alaska Natives, women are earning bachelor’s degrees at almost three times the rate of men and associate degrees at almost five times the rate of men. Furthermore, the gender gap in favor of females widened between 1998 and 2004, the most recent year for which we have information. The experience at the University of Alaska shows that increasing access and providing college preparation and support services alone are not enough to engage indigenous young men in postsecondary education. What may also be needed are ways of making education more compatible with traditional male cultural roles and community values. The Community Trades Technology Program at the University of Alaska has succeeded in enrolling large numbers of young Native men in a postsecondary program through such an educational model. The program 1) is located in the students’ home community; 2) offers cohort-based instruction that enrolls most of the students’ friends; 3) emphasizes practical, hands-on knowledge and the lore of the trade; 4) embeds academic instruction in practical tasks, such as writing letters about construction supplies; 5) connects the educational program to immediate employment in construction projects scheduled for the community; and 6) provides practical help to people, such as doing home repairs, without charge.
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 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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".