Bibliographic record
Abstract
If you count back, 50 years since the Summer of Love of 1967 has passed. It has also been 50 years since Jimi Hendrix famously opened a show at the Saville Theatre in London with his rendition of the Beatles’ Sgt. Pepper's title track, which was released just three days previous, all while The Beatles sat in the audience. This is the same summer when his first album, Are You Experienced? spent 33 weeks on the charts and Hendrix set fire to his guitar at the Monterey Pop festival. I spent 12 weeks in Brighton, England learning about Hendrix and the London that he lived in. I had the opportunity to interview interesting characters and work with primary texts, but the main source I worked with is a newspaper call the International Times, most commonly known as IT. IT was known for its 'police baiting' small ads page, making this an incredibly interesting primary source to work with. In this project, I examined the Summer of Love, Hendrix and IT newspaper through the lenses of sexism, racism and consumerism, exposing areas where the hippies in swinging London were not as progressive as they thought. Using examples from IT, Hendrix’s life and texts from the 60’s, my project aims to highlight how instances of sexism, racism and consumerism occurred within the hippie community. In London, hippies were unable to reach unified ideas and maintained some oppressive tendencies from the dominant culture they so wished to reject.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.016 |
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".