Oral History Interview: Michael Zaleski (1172)
Bibliographic record
Abstract
In his July 2011 interview with Troy Reeves & Mike Lawler, Michael Zaleski detailed his thoughts and memories as an undergraduate & law student on the UW-Madison campus and as a lawyer for the Dane County District Attorney and Wisconsin Attorney General offices. Zaleski spoke of the time period between 1963 and the 1990s and on the following topics: UW-Madison, Sterling Hall Bombing, Dane County District Attorney, Wisconsin Attorney General, the books, Rads, and the Vietnam Era on UW-Madison's campus. Since he was a lead attorney on the case, he talked in depth about the Karl Armstrong pre-trial investigation and sentence hearing. This interview was conducted for inclusion into the UW-Madison Oral History Program, specifically for the collaboration with the Wisconsin Story Project on the Sterling Hall Bombing. Key Words: Madison, WI; Dane County District Attorney; Wisconsin Attorney General; Dow Riot; Sterling Hall Bombing; Karl Armstrong; extradition; Canada; Dwight Armstrong; David Fine; Leo Burt; Tom Bates? Rads; Michael Morris? The Madison Bombings; Vietnam Conflict. In this second interview with Troy Reeves & Mike Lawler, Michael Zaleski adds detail to his previous interview, discussing his memories of the Vietnam War protest era and the Sterling Hall bombing investigation. As a lawyer for the Dane County District Attorney and Wisconsin Attorney General offices, Zaleski shared recollections about the Sterling Hall Bombing, the mindset of the bombers, interesting anecdotes about the investigatory process, and the way it affected the university and the country in the 1970s. This interview was conducted for inclusion into the UW-Madison Oral History Program, specifically for the collaboration with the Wisconsin Story Project on the Sterling Hall Bombing. Keywords:Madison, WI; Dow riot; Vietnam; 1968; Kent State riots; Karl Armstrong; Dwight Armstrong; David Fine; Sterling Hall Bombing; Leo Burt; Oklahoma City bombing; Fassnacht family; extradition.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 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; both teacher heads agree on what is shown here.
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".