Book Review: Wandering the Sociological Imagination: A Review of Canadian Sociologists in the First Person
Bibliographic record
Abstract
This collection of first-person professional accounts across the major fields of sociology aims to "document the Canadian "sociological imagination" through personal recollections of a lifetime of experiences" (R&M, 2021, p. 3).To accomplish this, Canadian Sociologists in the First Person moves through twenty "guided autobiographies" (R&M, 2021, p. 5) written by scholars chosen for their expertise in Canadian sociology or their long and storied careers in sociology departments across the country.Consistent with the distanced, objective stance common to the natural sciences, these autobiographical adventures mostly take the form of realist stories: "a documentary style of writing that presents apparent facts and interpretations in a no-nonsense manner" with "the presence of the author as observer" (R&M, 2021, p. 20).For novice and experienced scholars alike, the questions become what lessons can be learned from this wide-ranging, longitudinal look at sociologists whose works span from the 1970s to the present, and more importantly, can autobiographical reflections, "frowned upon by the discipline" (R&M, 2021, p. 3) for conventions that "distort reality" (R&M, 2021, p. 22), properly capture the Canadian sociological imagination?
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.021 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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; 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".