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
Books Reviewed: Michael L. Lahr and Ronald E. Miller (eds.), Regional Science Perspectives in Economic Analysis: A Festschrift in Memory ofBenjamin H. Stevens Graham Clarke and Moss Madden (eds.), Regional Science in Business Luis Suarez–Villa, Invention and the Rise of Technocapitalism Sam Bass Warner, Jr., Greater Boston: Adapting Regional Traditions to the Present Jameson W. Doig, Empire on the Hudson: Entrepreneurial Vision and Political Power at the Port of New York Authority Alex Hirschfield and Kate Bowers (eds.), Mapping and Analysing Crime Data: Lessons from Research and Practice Aura Reggiani and Daniele Fabbri (eds.), Network Developments in Economic Spatial Systems: New Perspectives Joseph Persky and Wim Wiewel, When Corporations Leave Town: The Costs and Benefits of Metropolitan Job Sprawl Koichi Mera and Bertrand Renaud (eds.), Asia’s Financial Crisis and the Role of Real Estate Massimo Livi Bacci, The Population of Europe: A History Byron A. Miller, Geography and Social Movements: ComparingAntinuclear Activism in the Boston Area Rosalind Greenstein and Wim Wiewel (eds.), Urban–Suburban Interdependencies Heather Nicol and Greg Halseth (eds.), (Re)Developmentat the Urban Edge: Reflections on the Canadian Experience Marco Verweij, Transboundary Environmental Problems and Cultural Theory: The Protection of the Rhine and the Great Lakes Jonathan Raper, Multidimensional Geographic Information Science
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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