What use is social problems theory? Forty years of uninterrupted reflection. An interview with Malcolm Spector
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Malcolm Spector può essere considerato il co-fondatore, assieme a John Kitsuse, dell’approccio costruzionista ai problemi sociali. È stato co-autore, sempre assieme a Kitsuse, dei tre articoli, apparsi ai primi degli anni Settanta nella rivista «Social Problems» che inaugurarono il filone costruzionista dei problemi sociali, nonché coautore, ancora una volta con Kitsuse, del testo di riferimento principale dell’approccio: Constructing Social Problems, apparso nel 1977 e poi variamente ristampato nel corso degli anni. Ha insegnato prima alla Northwestern University, Chicago, dove ha incontrato per la prima volta John Kitsuse, e poi alla McGill University, in Canada. Dorothy Pawluch, coautrice assieme a Steven Woolgar di un contributo critico fondamentale nello sviluppo della teoria costruzionista sui problemi sociali, è stata una sua allieva alla McGill. Spector si è occupato degli aspetti teorici dell’approccio costruzionista e ha compiuto diverse ricerche empiriche in questo ambito.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it