The Philosopher’s plant: An Intellectual Herbarium (Herbarium Philosophicum (prologue), Plato’s Plane Tree (chapter 1))
Bibliographic record
Abstract
Michael Marder, a well-known specialist in environmental philosophy and political theory, studied at universities in Canada and the United States, received a Ph. D. from the New School of Social Research in New York, and taught at the Universities of Georgetown, Saskatchewan, and Washington. He conducted research at the University of Lisbon and served as an associate professor of Philosophy at Duquesne University in Pittsburgh before becoming a research professor at the University of the Basque Country. M. Marder is a member of the editorial board of journal «Telos» (New York), as well as the editor of four book series: «Political Theory and Contemporary Philosophy», «Critical Plant Studies», «Future Perfect: Images of the Time to Come in Philosophy, Politics, and Cultural Studies» and «Palgrave Studies in Postmetaphysical Thought». Michael Marder works in the phenomenological tradition of continental philosophy. He is the author of books «Grafts: Writings on Plants» (2016), «The Chernobyl Herbarium: Fragments of an Exploded Consciousness» (2016), «Heidegger: Phenomenology, Ecology, Politics» (2018) и «Dump Philosophy: A Phenomenology of Devastation» (2020). Most of his philosophical works are focused on constructing a concept in which plants are viewed as beings with their own form of subjectivity. He is best known for the monograph «Plant-Thinking: A Philosophy of Vegetal Life» (2013). Marder's book «The Philosopher’s Plant (Intellectual Herbarium)» (2014), from which the prologue «Philosophical Herbarium» and the first chapter «Plato's Plane Tree» are taken for translation, is devoted to the relationship between philosophy and plants. The author believes that philosophy did not pay due attention to plants, and seeks to fill this gap. The book contains twelve stories, each of which relates a famous philosopher to a plant or flower (Plato’s Plane Tree, Avicenna’s Celery, Kant’s Tulip etc.), which, according to Marder, allows a deeper understanding of his philosophical ideas.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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; 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".