Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Bibliographic record
Abstract
Welcome to the First ACM Workshop on Continuous Archival and Retrieval of Personal Experiences -- CARPE'04. Personal storage of all one's media throughout a lifetime has been desired and discussed since at least 1945, when Vannevar Bush published As We May Think, positing the device in which an individual stores all his books, records, and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility. His vision was astonishingly broad for the time, including full-text search, annotations, hyperlinks, virtually unlimited storage and even stereo cameras mounted on eyeglasses. In 2004, storage, sensor, and computing technology have progressed to the point of making Memex feasible and even affordable. Indeed, we can now look beyond Memex at new possibilities. In particular, while media capture has typically been sparse throughout a lifetime, we can now consider continuous archival and retrieval of all media relating to personal experiences. The continuous archival paradigm fundamentally alters our relationship to biological memory, since analysis of such media powerfully augments human memory. This workshop brings together leading researchers from around the world to share their findings and insights into this burgeoning field. The call for papers attracted 25 submissions from Asia, Canada, Europe, and the United States. The submissions were reviewed by at least 3 program committee members, from which 8 full papers and 3 demos were accepted. We also have 3 industrial demonstrations, a panel discussion on the future of CARPE and invited talks from pioneering cyborg Steve Mann and industry legend Gordon Bell. Our program covers all aspects of CARPE including capture, retrieval, organization, search, privacy, and legal issues. Attendees will hear about capture ranging from sensing brain waves, body posture and heart rates to recording conversations and computer mouse clicks. We will consider how human memory works, how to represent personal knowledge on computers, and how new forms of artistic expression may emerge.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.122 | 0.052 |
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".