The Semiotics of Development: Towards the Economics of Path Dependence
Bibliographic record
Abstract
Development is a concept whose ontological foundations are include phenomena, such as technologies, institutions, and cultural traits that embody the determinants of development differentials. This contribution argues that semiotics is the science to study these complex phenomena of development. Its approach is based on Charles Sanders Peirce’s semiotics and John Searle’s analysis of social reality. Development trajectories are depicted as specific compounds of institutions (signs), technologies (objects), and markets (interpretants) that create meaningful properties depending on symbolic forms. Development is a socially structured and observer-relative phenomenon. Developmental semiosis depends upon symbolic powers that structure and assemble collective intentionality. The paper advances two critical conditions essential to development. The first is semiotic intra-coherence, which is related with the bridging of dispositional functions in a coordinated way in networks of artifacts and users. The second is inter-coherence. It takes place as the supervenient causality of social structures and the performative character of habitual patterns of behavior. Both are intertwined in syntactic and semantic forms evolving in time by forging the development of path-dependent trajectories.
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 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 | 0.007 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".