Bibliographic record
Abstract
Erin Osmon presents a detailed, human account of the Rust Belt–born musician Jason Molina—a visionary, prolific, and at times cantankerous singer-songwriter with an autodidactic style that captivated his devoted fans. The songwriting giant behind the bands Songs: Ohia and Magnolia Electric Co. had a knack for spinning tales, from the many personal myths he cultivated throughout his life to the poems and ballads he penned and performed. As with too many great musicians, Molina’s complicated relationship with the truth, combined with a secretive relationship with the bottle, ultimately claimed his life. With a new foreword from singer-songwriter Will Johnson, Jason Molina: Riding with the Ghost details Molina’s personal trials and triumphs and reveals for the first time the true story of Molina’s last months and works, including an unpublished album unknown to many of his fans. Offering unfettered access to the mind and artistry of Molina through exclusive interviews with family, friends, and collaborators, the book also explores the Midwest music underground and the development of Bloomington, Indiana–based label Secretly Canadian. As the first authorized and detailed account of this prolific songwriter and self-mythologizer, Jason Molina provides readers with unparalleled insight into Molina’s tormented life and the fascinating Midwest musical underground that birthed him. It’s a story for the ages that speaks volumes to the triumphs and trials of the artistic spirit while exploring the meaningful music that Molina’s creative genius left behind.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.028 |
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".