Bibliographic record
Abstract
Outside and Looking In is a creative writing project in the form of a complete memoir. It is 1990 and the narrator, twenty-one, has come to Yosemite National Park for an entry-level job and a chance to escape her problems. Within the party culture of the park, she meets and falls in love with an enigmatic and hard-drinking climbing bum named Ray. Restless and frustrated by her menial job and stagnant lifestyle, the narrator leaves the park with Ray in search of an alternative to working for a living. The couple dwell in a tent in the California desert before making their way to British Columbia, Canada. Meanwhile, the relationship sours and then grows increasingly volatile as each fails to live up to the other's expectations. After pitching their tent in a squatters' campground, the couple work sporadically and then manage to buy a tiny sailboat. They fix up the sailboat and move aboard, embarking on a nomadic life in the waters of British Columbia's coast and Gulf Islands. Over the next two years, the frustration of both characters builds: they can't get along but can't give up the relationship. In early spring 1996, while spending the night at a remote anchorage, they drink too much and Ray accidentally drowns. Devastated, the narrator returns to the United States. There, she must face her problems head-on before she can find happiness. 1. Memoir 2. Outdoors 3. Sailing 4. Rock climbing 5. Adventure 6. Yosemite 7. Canada \nItem only available to the CSUSM community. Authentication with campus user name and password required.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".