Ethics in Archaeology Teaching Study: Survey of 2023 Anthropology Program Requirements
Bibliographic record
Abstract
This is a a de-identified, sanitized copy of survey data from our Ethics in Archaeology Teaching Study that looked at United States Anthropology Programs with majors or minors in 2023. Data collection for this study was overseen by Carleton College’s Institutional Review Board (IRB 2021-22 1368 SKENNEDY2). Funding was made possible through Carleton College’s Student Research Assistantship program. This survey data was collected by Ezra Kucur in 2023, and updated throughout 2023-2024. Our sample was derived from a list of 827 U.S. colleges and universities with undergraduate anthropology programs from the American Anthropological Association’s AnthroGuide, as observed in 2023 when we created the initial sample group (https://guide.americananthro.org/39/Degree-Programs). The AnthroGuide lists 827 total programs offering anthropology across both undergraduate and graduate programs in the United States and Canada. From the list of 827, we extracted the 637 institutions that were based in the U.S. that included undergraduate programs (major and/or minor) including associates/2-year degrees and combined graduate-undergraduate institutions. From there, we classified the 637 institutions according to their status as Predominantly/Historically White Institutions (PWIs) and Minority Serving Institutions (MSI), based on the categories curated by the MSI Data Project, a publicly accessible digital research initiative that aims to further advance minority-serving institutions and their unique contributions to higher education (https://www.msidata.org). We have redacted the name of each institution, as well as publicly visible course numbers, course descriptions, and our notes. The institutions are now named randomly with consecutive numbers from 1-222. This dataset includes the following information for each of the 222 institutions: Carnegie Institution Type, General Institution Type, MSI designation, and presence or absence of anthropology major, anthropology minor, requirements or learning objectives, ethics requirements, ethics electives, anthropology ethics electives, and courses listed.
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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".