Section I, ANTH 785: Dreams and Dreaming
Bibliographic record
Abstract
Section I features work by three students from Dr. Robin Sheriff’s ANTH 785: Dreams and Dreaming course, exploring how dreams reflect and shape culture. Brian Downer writes a powerful analysis of three of his own dreams, disassembling seemingly random occurrences in his dreams into common cultural models that ultimately represent a disconnect between the expectations placed on younger generations in America and the reality that many of these expectations are unachievable for most. Kai Parlett delves into the connection between dreams and music composition, reviewing popular American and European artists such as Paul McCartney, Billy Joel, György Ligeti, and Lucy Davis, who utilize dreams as a freeing space to expand their creativity or tackle complex issues in contrast to the typical American-Western perspective that dreams are unimportant. To round out this section, Channon Evans considers the pragmatic and spiritual role of dreams in three diverse Indigenous cultures: the Yolmo people of Nepal, the Chipewyan of Northern Canada, and the Gaujiro of Venezuela and Columbia.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".