Mediating connections through materiality: Cultures and communities
Bibliographic record
Abstract
ABSTRACT Objects and their associations are a means of self‐expression and an integral part of identity making. Our panelists and our participants together will engage in exploring, defining and theorizing diverse research spaces of mediating connections through materiality. The panel is a discursive arena where participants embedded in different communities engage in material practices. In this session the panelists and participants will walk through the process of mediating connections through materiality in real time. The session is intended to be about the process—the means to an end, not an end in itself: shifting boundaries, identifying connections, moving margins and creating a participatory practice that embodies the very connections we hope to enact. Together we are moving from {apart from} to {a part of} – thus our practice reflects what we have experienced in our respective projects, facilitating in a material way the practice of boundary‐spanning. This interactive session essentially speaks to all aspects of the conference theme of Connecting Collections, Cultures, and Communities.
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 | 0.020 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.018 | 0.054 |
| Scholarly communication | 0.025 | 0.024 |
| Open science | 0.003 | 0.033 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".