Stoddart / MEMORIES OF MARGINALITY People Like Us: Memories of Marginality
Bibliographic record
Abstract
Written from the site of memory, this autobiographical tale represents some of the author’s experiences with racism, classism, homophobia, and death in Canada during the late 1950s and early 1960s. Also discussed are his later and ongoing use of the lan-guage of sociology to interpret these experiences and his re-reinvention of self using ele-ments of the popular culture of the era. It is not intended as a sad tale or a survival tale, although it could be read as either. Instead, it is to be regarded as a tale told by a member of a population of unknown but possibly large size. You can forget the past. But the past never forgets you. —Magnolia, a film by P. T. Anderson (1999) Return with me now to those thrilling days of yesteryear. —The Lone Ranger, a syndicated radio program in the 1940s It’s never too late to have a happy childhood. —Attributed to Wavy Gravy, the emcee at Woodstock 1969
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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 teacher head, 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".