Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The notion of causation that Mary Shepherd develops in her 1824 An Essay Upon the Relation of Cause and Effect (ERCE) has a number of surprising features that have only recently begun to be studied by scholars. This relation is synchronic, rather than diachronic (ERCE pp. 49–50); it always involves a ‘mixture’ of pre-existing objects (ERCE pp. 46–7); and the effect must be ‘a new nature, capable of exhibiting qualities varying from those of either of the objects unconjoined’ (ERCE p. 63). In this essay, I argue for an emergentist interpretation of Shepherd’s causal theory. On the reading I defend, all effects have qualities that metaphysically emerge from the complex interactions of their constituents. This reading explains the structure of Shepherd’s causal relation and clarifies the central aims of her philosophical project. In response to the problems raised by the science of her time, Shepherd developed a theory of emergence and published it during the period when the concept was first being shaped and adopted by prominent philosophers. Her work thus merits a place in the history of emergentist ideas.
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.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it