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
In this paper, I argue that there is accepted propositional technological knowledge which appears to exhibit the same patterns of change as questions, theories, and methods in the natural, social, and formal sciences. I show that technological theories attempting to describe the construction and operation of artifacts as well as to prescribe their correct mode of operation are not merely used, but also often accepted by epistemic agents. Since technology often involves methods different from those found in science and produces normative propositions, many of which remain tacit, one may be tempted to think that changes in technological knowledge should be somehow exempt from the laws of scientific change. Indeed, it seems tacitly accepted in the scientonomic community that, while scientific communities clearly accept theories, technological communities merely use them. As a result, scientonomy currently deals with natural, social, and formal sciences, and the status of technological knowledge within the scientonomic ontology remains unclear. To help elucidate the topic, I propose that the historical cases of sorting algorithms, telescopes, crop rotation, and colorectal cancer surgeries confirm that technological theories and methods are often an integral part of an epistemic agent’s mosaic and seem to exhibit the same scientonomic patterns of change typical of accepted theories therein. Thus, I suggest that propositional technological knowledge can be part of a mosaic. Suggested Modifications [Sciento-2018-0011]: Accept the three-fold distinction between explicit, explicable-implicit, and inexplicable with the following definitions: Explicit ≡ propositional knowledge that has been openly formulated by the agent. Explicable-Implicit ≡ propositional knowledge that hasn’t been openly formulated by the agent. Inexplicable ≡ non-propositional knowledge, i.e. knowledge that cannot, even in principle, be formulated as a set of propositions. Also accept the following definition of implicit: Implicit ≡ not explicit. [Sciento-2018-0012]: Accept that propositional technological knowledge – i.e. technological questions, theories, and methods – can be part of a mosaic. Also accept the following questions as legitimate topics of scientonomic inquiry: History of Technological Mosaics: What technological theories were accepted and what technological methods were employed by different epistemic agents at different time periods? The Status of Inexplicable Knowledge: Is there such a thing as inexplicable knowledge? Typology of Technological Knowledge: What types of technological knowledge are there?
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 | 0.026 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.019 | 0.235 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.008 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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