The Vitality of Humanimality: From the Perspective of Life Phenomenology
Bibliographic record
Abstract
While interactions with other animate beings seem mostly to serve our own human interests, there are, at times, fugitive glimpses, passing contacts, momentary motions, and fleeting feelings of vital connection with other life forms. Life phenomenology attempts to realize these relational, interactive and intercorporeal possibilities. It challenges the language game of presuming the muteness and bruteness of non-human creatures and, at best, of speaking for them. It critiques the capture of non-human species within the inhibiting ring of human functions and forms to reveal feelings and flows of interspecies commonality. It brings to expression the experiences of being moved to act and speak with others who do not share the human tongue. In part a critique of the logocentric, anthropocentric phenomenologies of intentionality, life phenomenology is more positively a means of coming to terms with the life-affirming kinetic, kinesthetic and affective dynamics of interspecies relationality. I take up the interrogation of this phenomenality, this humanimality, with the assistance of phenomenological scholarship that lends fuller credence to the experiences we have of moving in concert with other animate beings. In doing so, I aim to show the important insights that life phenomenology offers us in fostering not only greater appreciation of, responsivenss to and connection with other animals, but also in indicating the qualitative dynamics of relating with greater animate consciousness to one anotherof our own animal kind.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.074 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".