Bibliographic record
Abstract
SHOOTING THE PAST? FOUND FOOTAGE FILMMAKING AND POPULAR MEMORY IntroductionHow should we as documentary filmmakers picture the past? How should we conduct the struggle for memory? Clearly a major resource for the representation of history and the celebration of popular memory is the treasure trove of archival images, both still and moving, that are now available to us in the photographic and film archives. But how should we deal with this stockpile of images - as primary evidence and mute testimony to a unattainable past or as narrative resource capable of releasing the submerged voices of history and of attending to their story? Over the last number of years in collaboration with my editor Roger Buck at Napier University, I have developed an archivally based, creative film practice which explores aspects of Ireland's post- Famine past and the Irish diaspora in America. The Hard Road To Klondike (Bell: 1999)...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".