Bibliographic record
Abstract
From shortly before the Watts rebellion in August 1965 until late October 1966, I was the Los Angeles regional organizer for Students for a Democratic Society [SDS]. My assignments from the national office in Chicago were to build a core of draft resistance in the city (I had burnt my own draft card the previous March and was waiting to see whether or not I would be prosecuted) and to assist two eloquent and charismatic local SDSers — Margaret Thorpe at University of Southern California and Patty Lee Parmalee at University of California Irvine — in raising hell on local campuses. The most hell was generated by a group of wonderful 16and 17-year-old SDS kids from Palisades High School. Hanging out with them, we soon became participants in some of the events described below (although with a crew-cut and a phobia about recreational drugs, I was hardly a representative ‘teenybopper’). I left L.A. in 1967 to briefly work for SDS in Texas, returning to Southern California late in the year to begin real life as an apprentice butcher in San Diego and later as a truck driver in East L.A. I missed the 1967 riots on the Strip, but was on the scene for the culminating protest in 1968. So what follows is an alloy of research and memory. It is also the first, small installment in a projected history of L.A.’s countercultures and protestors, tentatively titled Setting the Night on Fire.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.265 | 0.072 |
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".