Ontology, Vagueness, and Indeterminacy (Extended Abstract)
Bibliographic record
Abstract
Thomas Bittner Centre de recherche en geomatique, Laval University, Quebec, Canada Thomas.Bittner@scg.ulaval.ca August 29, 2000 Abstract This paper discusses relationships between the vagueness of certain classes of concepts and the indeterminate character of location of the fiat objects they carve out. It starts with a discussion of spatial objects and their location. Certain classes of fiat objects are subject to location indeterminacy. Assuming that objects and regions themselves are determinate and that every object is located at a single region of space at every moment of time, location indeterminacy of an object is defined as a set of regions that are equally good candidates to be the object's exact region. The indeterminacy of location is caused by the vagueness of the unity condition provided by the concept `caving out' the fiat object. In the paper these different notions are discussed, examples are given, and open research questions are raised.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".