Adrienne Clarkson. Room for All of Us: Surprising Stories of Loss and Transformation
Bibliographic record
Abstract
Adrienne Clarkson. Room for All of Us: Surprising Stories of Loss and Transformation. Toronto: Allen Lane Canada (Penguin Group), 2011. 248 pp. References. Index. $34.00 hc. Adrienne Clarkson draws upon her distinguished public service in Canada including a term as Governor General to assemble a series of biographical sketches of ten immigrants and their immediate families. With one exception, that of an anglophone Quebec family whose peregrinations extend across some four generations, these arrivals occurred in various streams from immediately post World War II to the Balkan crisis of the 1990s. Clarkson provides us with a journalistic account of these in transformation with often intimate details. Presumably, she obtained agreement from each of her respondents to publish these accounts without pseudonyms or alteration of other identificatory details. Her narrative treats the protocols sensitively and with superb composition and diction. This monograph differs from most immigrant accounts in the social science literature. No explicit disciplinary method has been employed in data gathering. The author selected cases at her discretion. Likewise, the quantity of information on family background, pre-immigration experiences, immediate family and occupational circumstances--as well as images of the future--for the persons varies from case to case. In exchange for this variability across the narrative, the reader experiences insights that enhance one's appreciation of the character's uniqueness. Nevertheless, the author presents these often gripping accounts in the form of flashbacks in their lives. Consequently, the chronological aspect of the biography often becomes distorted and difficult to reconstruct. This book contains case studies of persons who would escape most accounts of immigrant adaptation since many have achieved eminence in their respective professional lives in Canada. A CEO of a major communications network in Canada, for example, is traced retrospectively from his exodus from Tanzania by the tyrannical dictator Idi Amin. Yet his persistent attempts to integrate his activities into ongoing life in the host country (UK and later Canada) accounted for his rising prominence. The author attributes this success in large part to a fit between Ismaili and Canadian cultures. That explanation alone lacks specificity, however, in accounting for why this individual rose above his fellow Ismaili immigrants to the executive cadre in the Canadian communications industry. …
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".