Family, archive, and the posttraumatic imaginary: an analysis of the role of archival material in the personal documentaries stories we tell, the Imam and I, and grandpa Ernest speaks
Bibliographic record
Abstract
My short documentary, Grandpa Ernest Speaks (2021), is the creative research portion of my master's degree submission. The film is heavily influenced by post-structuralist theory regarding the archive as an experiential entity as well as posttraumatic cinema discourse (in particular, Joshua Hirsch's phases of posttraumatic cinema). This critical reflection therefore investigates the intersection of these two theoretical paradigms: looking at how archival materials may specifically be used in personal documentary films dealing with family/ancestral trauma and posttraumatic memory, and positing that these films' engagement with the archive fits into the larger framework of posttraumatic cinema. I reflect on Grandpa Ernest Speaks in conversation with two other personal posttraumatic documentaries, The Imam and I (dir. Khalid Shamis, South Africa, 2011) and Stories We Tell ( dir. Sarah Polley, Canada, 2012). I conduct a semiotic and content analysis of portions of all three films in order to both situate them within the posttraumatic imaginary-specifically, within Hirsch's second phase-and examine the role of the archive and artefacts in each. In doing so, I confront the question of record vs. representation in documentary, and argue that-in the archival-based posttraumatic documentary-the distinction between the two lies in the way that the artefact is interpreted or contextualised via meta-textual captioning. This study demonstrates that posttraumatic memory may be nonlinear and non-chronological. The analysis of my film and the two additional case study films examines how this complication of past and present, archival and contemporary, is articulated onscreen: conveying the transmutation of memory as well as the ongoing and self-reflexive act of contributing to the familial archive.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".