“ABSENTEE INFORMATION”: Lucy R. Lippard’s MoMA Library Intervention—From Decision to Stance
Bibliographic record
Abstract
Abstract “Absentee Information,”Lucy R. Lippard’s contribution to the iconic catalogue for INFORMATION(1970), the era-definingMoMA exhibition curated by KynastonMcShine, illuminates the informational and proto-feminist logics underpinning the innovative critic-curator’s approach to problems of community decision amidst her transition to a feminist position. The contemporary “non-philosophy” of François Laruelle suggests a new path of approach to Lippard’s instruction- and choice-based methodology as seizing upon contemporaneous manifestations of “digitality” in Conceptual art, but redescribing the tautological structures of mainstream conceptualism in emphatically situated terms—as a lived “stance.” This article traces the sources of Lippard’s library intervention, contextualizing “Absentee Information” within contemporaneous artistic, political and information-theoretic currents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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; both teacher heads agree on what is shown here.
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".