Bibliographic record
Abstract
Celebrating the diversity of institutions in the United States, Latin America, and Canada, Remix aims to change the discourse about museums from the inside out, proposing a new, “panarchic”—nonhierarchical and adaptive—vision for museum practice. Selma Holo and Mari-Tere Álvarez offer an unconventional approach, one premised on breaching conventional systems of communication and challenging the dialogues that drive the field. Featuring more than forty authors in and around the museum world, Remix frames a series of vital case studies demonstrating how specific museums, large and small, have profoundly advanced or creatively redefined their goals to meet their ever-changing worlds. Contributors: Piedade Grinberg (Brazil), Nichole Anderson (Canada), Dr. James D. Fleck O.C. (Canada), Vanda Vitali (Canada), Lydia Bendersky (Chile), Andres Navia (Colombia), Manuel Araya-Incera (Costa Rica), Oscar Arias (Costa Rica), Alejandro de Avila Blomberg (Mexico), Marco Barerra Bassols (Mexico), Cuauhtémoc Camarena Ocampo (Mexico), Miguel Fernández Félix (Mexico), Demian Flores (Mexico), Teresa Morales (Mexico), Nelly Robles (Mexico), Hector Feliciano (Puerto Rico), Mario Vargas Llosa (Peru), Santiago Palomero Plaza (Spain), Maxwell L. Anderson (United States), Susana Bautista (United States), Graham W. J. Beal (United States), Jane Burrell (United States), Thomas P. Campbell (United States), Erica Clark (United States), Chip Colwell-Chanthaphonh (United States), Kristina van Dyke (United States), William Fox (United States), Ben Garcia (United States), Ivan Gaskell (United States), Tomas W Hanchett (United States), Richard Koshalek (United States), Clare Kunny (United States), Stephen E. Nash (United States), Joanne Northrup (United States), Jane G. Pisano (United States), Edward Rothstein (United States), Karen Satzman (United States), Lori Starr (United States), Carlos Tortolero (United States), David Wilson (United States), Fred Wilson (United States), Guillermo Barrios (Venezuela), Patricia Phelps de Cisneros (Venezuela)
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.559 | 0.288 |
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".