Hometown Memories: Reading Memory and Materiality in <i>Welcome to Pine Point</i>
Bibliographic record
Abstract
In 2011, the National Film Board of Canada released a web documentary entitled Welcome to Pine Point, which was a creative reimagining of an existing website that commemorates a postWorld War II mining town that existed for a single generation. Immediately, the project garnered acclaim, and was the subject of several online articles and the winner of two Webbies. While an experiment, the site is not experimental. The project is rooted in the context of an emerging genre—the interactive documentary—rather than being a self-conscious foray into the limits of new media. Though nominally interactive, the purpose of the project is to tell a story, to disclose a fixed narrative, and, as such, Welcome to Pine Point lends itself particularly well to being “read.” How does a web documentary engage the material of the screen and its underlying code? In what ways does it engage social memory and technological history? Using Welcome to Pine Point as a case study, this paper explores the material and rhetorical implications of memory and new media.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".