A Ballad of Dixie Rae Blackwater and Other Tales
Bibliographic record
Abstract
The purpose of this thesis is to explore the ways people cope with being labeled an outsider. As a result of this purpose, themes such as cultural identity, mystical curiosity, and self-empowerment are also exploded. The Ballad of Dixie Rae Blackwater and Other Tales is made up of six screenplays that feature characters who, whether they realize or not, are disconnected from society and its norms, and therefore are pushed into the background. However, I hope to show that- the overlooked often have the best stories to tell. Considered a magical realism forefather, Alejo Carpentier said the essence of magical realism is "to seize the mystery that breathes behind things," and I strive to expose that which lives behind in my writing. I am inspired by Tim Burton's freaks, Woody Allen's neurotics, and Charlie Kaufman's infectious absurdity and never-ending possibilities. Their writing reminds audiences that there is no black and white, that the unbelievable is all around us. That mystery is what Alberta Bluedove is out to find after a childhood of being the odd girl out in my screenplay The Bluedove Girl. And through the beautifully grotesque characters of Flannery O'Connor, Shirley Jackson, and Edgar Allan Poe, I am reminded that the most interesting human thoughts and experiences can happen in the quietest of moments. In Barnabus and the Gnome, Barnabus makes a garden gnome his son as an effect of the loneliness he feels from having no one to walk by him in the universe. My title screenplay The Ballad of Dixie Rae Blackwater features a woman, Dixie, who knows what it's like to be overlooked, and she recognizes a young man on the verge of uprooting the peace with which he's been blessed. Dixie does a little cleverly-guided storytelling to prevent him from choosing to go down a road he'll end up alone on, and she thankfully succeeds. Though they are flawed, all of these characters are strong, and their determination to chase what "breathes behind things" helps them find their way. These characters are my kin, and they are who I work to put on paper. Each is on a journey to carve out his or her home in the universe. With these characters by my side, I hope to carve my own.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".