Future memory work: unsettling temporal Othering through speculative research practices
Bibliographic record
Abstract
This article introduces ‘future memory work’ as a conceptual framework and speculative practice to unsettle the temporal hierarchies that are intrinsically tied to the anthropological project and that lead to Othering through time. By adding a future dimension to memory work – a concept and methodological tool to better understand how we make sense of the world around us – it becomes possible not only to acknowledge but proactively make use of how the future shapes the way we (re)construct the past in the now. The article foregrounds a study wherein young Indigenous people from Kalaallit Nunaat (Greenland) were invited to create ‘future memories’ for subsequent generations by producing ‘memory texts’ that best represent what they consider worth preserving. In my research, I utilize the future to elevate the present in conjunction with the past and illustrate how this future-orientation offers an alternative temporal frame to investigate young Kalaallit’s (Greenlandic Inuit) multitemporal relations to the world.
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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 | 0.064 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.022 | 0.154 |
| Scholarly communication | 0.018 | 0.030 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".