Techs and the Cities: A New Economic Development Paradigm?
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
Large technology firms pose new challenges for local economic development in the 21st century. They are attractive targets for local economic developers because they have the potential of providing permanent, well-paying jobs. This article examines two mega-economic development deals. Amazon’s proposed second headquarters in Queens and Sidewalk Labs’ Quayside proposal for the Toronto waterfront pit large and prosperous Big Tech firms against local governments with healthy economies. Amazon abandoned the New York City site it had chosen, rather than open new negotiations with local officials and citizens. Sidewalk Labs withdrew from the Quayside proposal after two and a half years of negotiation focusing mostly on the size of the proposed development. Although the potential benefits may be substantial, incentivizing Big Tech’s location decisions may be well beyond the means of most cities, especially those with distressed economies.
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 | 0.000 |
| 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