Environmental History of the Southwest as a General Science Education Course
Bibliographic record
Abstract
Environmental History of the Southwest is a general science education course at the University of Arizona with an emphasis on human-environment interaction of the past and an objective of preparing non-science majors to understand and critically evaluate contemporary environmental issues. The American Southwest is well suited for such a course, as it is rich in many data sets of paleoenvironmental reconstruction techniques and has been inhabited by humans for thousands of years. Lectures are grouped into three parts. Part 1, Background, covers geology and climatology, paleoenvironmental techniques, and ecosystems. Part 2, Past Environments and Societies, covers environmental changes since the late Pleistocene and human response to and interaction with those changes. Part 3, Modern Environmental Issues, covers contemporary environmental issues as well as past analogs of these issues for comparison. Lecture topics are interconnected with one another, making for a comprehensive study of environmental history. Several elements of science are revealed and discussed, improving general science literacy among the students, who are mostly non-science majors. Other regions of North America have had long-term human habitation and are also rich in multiple data sets of paleoenvironmental indicators, so nearly all of the continental U.S. and Canada is suitable for a course on environmental history and human-environment interaction.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.008 |
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".