Significant Advances in Applied Geography from Combining Curiosity-Driven and Client-Driven Research Methodologies
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
The central thesis of the 2005 Anderson Lecture is that significant achievements in applied geography occur when the principles and practices of curiosity-driven and client-driven research are combined in the statement of problem, the idealized and operational research design, and the procedures of evaluating results. A companion thesis extends the Anderson Lectures by Jack Dangermond, Brian Berry, and Tom Wilbanks by positing that the best of applied geography incorporates a commutative perspective when establishing the parameters of an inquiry. That is, using pair wise combinations for illustration, research study parameters such as epistemology-praxis, conceptual-empirical, spatial-aspatial, theory-hypothesis, method-technique, causeeffect, analysis-synthesis, and structure-function are necessary elements in applied research that validates geography as a science-based, societally-relevant discipline, and geographers as professional practitioners. The examples of remote sensing, optimization techniques, decision support systems, geographic information systems, and the Walking Security Index project are used to illustrate how significant advances in applied geography result from combining curiosity-driven and client-driven research methodologies.
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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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