Place Identity Architecture : Rethinking Moments of Transition in the Age of University
Bibliographic record
Abstract
Places. We shape them - they shape us. They are a fundamental part of our human existence, bestowing on us identities and experiences. However, places, today, are converging on universality and homogeneity, becoming uniform, monotone, and placeless, lacking inspiration of identity and unique experiences due to modernization and globalization. This thesis explores the idea of “being” and “identification” in city gateways, places of transition in cities, such as train stations, within the inevitable modernization. It is especially at the moment of arrival at a place of transition that place and the surroundings affect one’s experience, perception, identity, and orientation of the destination. By understanding how a place of transition can reflect its surrounding context and identity, this approach re-thinks and re-establishes the idea of place at gateways to form impactful and heightened experiences of transitions and connections to the destination, in addition to creating a momentous arrival into a place.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.032 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".