Picturing an experience of the past : the case of Canada : a people's history
Bibliographic record
Abstract
Visual media dominate our daily experience. Still and moving images provide news, entertainment, and the means by which we shape our identity and then display that self-image to others. These acts of visual broadcasting leave a network of traces that allow us to remember what has happened, where we have been, and how we are. The malleability of the archival record also allows the past to be reworked in the service of the present. This dissertation examines how archival and contemporary visual materials are used both to stimulate and to structure memory. My subject is the English version of the 2000-0 I Canadian Broadcasting Corporation televised documentary on the history of Canada, entitled Canada: A People's History ( C:APH ). The series comprises seventeen episodes, begins with North American pre-history, and finishes with the early 1990s. C:APH uses journals, diaries, and letters to present history from the perspective of those who lived it. Reenactments, paintings, sketches, photographs, and archival film and video footage support the textual material. Canada: A People's History emerged when Canada faced increasing social diversification, political unrest, and communication technologies that introduced an increasing level of foreign cultural content. These issues contributed to the fear that a shared sense of Canadian identity was at risk. The hypothesis of this dissertation is that with C:APH , an idealized recreation of historical national progress mitigates the anxiety of a modern Canada for its future. Canada: A People's History does this by reflecting the lives of contemporary global migrants in a story of Canada as a nation built by dispossessed peoples struggling to find a renewed sense of home and belonging. C:APH emphasizes the sense of belonging and attachment in its picture of Canada by utilizing a personal and a familial point of view. The first chapter details the context and content of C:APH . Chapter Two explains why images can attract our imagination and how the series expresses "Canadian-ness." Chapter Three elucidates the personal and familial nature of this visual history. Chapter Four shows how Canada: A People's History depicts the experience of traveling through history to a utopian national future.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".