Facing the Future with a Foot in the Past Americana, Nostalgia, and the Humanization of Musical Experience
Bibliographic record
Abstract
Facing the Future with a Foot in the Past Americana, Nostalgia, and the Humanization of Musical Experience Americana, a musical genre defined by its place in a lineage of roots music styles and a nostalgic outlook is enjoying increasing mainstream popularity in response to general societal unease about the fast pace of social change and the increasing presence of technology in everyday life.Americana artists' invocations of the past cultivate a psychic landscape of collective memory that quells fears of change by asserting the sustained value of the past.Instead of actively resisting social and technological change Americana artists, listeners and promoters embrace technology in service of a nostalgicallymotivated humanization and disintermediation of musical performance and consumption.Gillian Welch and Dave Rawlings (who perform as "Gillian Welch") and their 2011 album The Harrow & the Harvest are analyzed vis-à-vis the ways in which their musical and visual invocations of the rural past dialogue with a psychic landscape of collective memory.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".