Not Your Parents’ Dorm Room: Changes in Universities’ Residential Housing Privacy Levels and Impacts on Student Success
Bibliographic record
Abstract
New student residence halls are being built to meet students’ demands and needs, creating complex living units that prioritize private spaces over social group spaces despite potential negative impacts on student success and well-being. This study examines all university residences located in a large urban center in Northern America, quantifying students’ different levels of privacy in living units classified by the Housing Unit Classification (HUC). Using the Hierarchy of Isolation and Privacy in Architecture Tool (HIPAT), this study measures the level of privacy in residence units typologies and analyzes the possible effects on the experiences of students, crowding and isolation, academic performance detriment, or success in various residence units. Increased private space in units is typically in apartments or suites. Increases in privacy levels of residences’ living units reflect possible lowering of students’ socialization in the built space, with probable negative consequences on grade point average (GPA), program completion, feelings of isolation, and overall well-being.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".