Archiving Memories through Art - Dinner Among Five People on 26th May, a biannual documentary project initiated by Boie Wog and Sam Tam
Bibliographic record
Abstract
Dinner Among Five People on 26th May is a documentary that records several dinner gatherings among five young adults who are from Hong Kong. It takes place once every two years, always on the same date. The participants are individuals who have, in various ways, participated in the pro-democracy movements in Hong Kong from 2012 to now. Throughout the dinners, they would recall fragmented memories of what had happened in Hong Kong in recent years and discuss the current situation and plans for the future. Each gathering lasts roughly two hours, and the conversations among them grow naturally without planned agendas. This work, initiated by Boie Wog and Sam Tam, is a long-term one that has been running biannually since mid-2017. Over the span of 6 years, from 2017 to 2019, four sets of documentation have been completed; the project is aimed to be carried out for at least 20 years. The first version of this work was exhibited in Network, an exhibition organised by RAGE Collective, which took place at MOVEMENT Worcester, United Kingdom, in 2017. The work has also been exhibited in other parts of the UK, Canada, and Korea in museums, art galleries, and art spaces. It has received media and press coverage in various parts of the world. The hosts have also been invited to speak about the ideology of the project in public lectures, conferences, and artists’ talks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".