Human Bodies in Motion: The Performative Intra-Actions of Materialization
Bibliographic record
Abstract
The human body in motion is both a material body and a body inscribed with sociocultural meanings. The new materialist premise of examining phenomena, such as bodies in motion, as hybrids of matter and meaning now offers a pathway to seamlessly bring nature and culture together in a more unified research agenda. Barad’s agentic realism, particularly, presents a promising option to analyze physically active bodies as socio-material practices through both natural science and social constructivist insights. This, however, requires rethinking the nature of natural and social scientific research to more fully comprehend the complexity of physical activity. To illustrate what such research might look like, I first present Barad’s critiques of realist science and social constructivist representationalism to arrive at their suggestion of meeting the universe halfway, performatively, through a relational ontology of the production of material bodies. I conclude with my attempt to think with Barad’s philosophical framework to consider how researchers of the moving human body may meet “halfway” to examine the materiality and mattering of the physically active body.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.096 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".