The geography of knowledge revisited: geographies of KIBS use by a new rural industry
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
It is difficult to define, let alone locate, knowledge. Research in regional studies suggests that cities are the focus of knowledge-intensive business services (KIBS), attract knowledge workers, and concentrate research and development (R&D) and universities: the implication is that knowledge is created in and diffused from urban centres. We suggest this may be a consequence of only studying knowledge that is relevant to, and used by, city-based industries: a growing number of researchers show that some types of knowledge are generated in non-urban or small-town clusters. This study focuses on the geography of KIBS (a proxy for knowledge inputs) used by Canadian winemakers (an emerging sector located in rural areas). After questioning what is meant by ‘knowledge’, we show that services incorporating knowledge of different types are sourced from different types of location. We conclude that there is no single geography of knowledge: for winemakers, different types of knowledge are sourced from cities, wine regions and also dispersed non-urban areas.
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 | 0.001 |
| 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) | 0.000 | 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