A millennial housing typology: redefining the home of the next generation in Toronto laneways
Bibliographic record
Abstract
The “millennial” has become a prominent term in today’s society and culture. \n“millennials” refers to a generation of young adults born between the early \n1980s and 2000.1 \n Made up of over 92 million people this generation is larger \nthan the Baby Boomers2 \n, and have a huge influence on the world’s economy, \nsocial policies, culture, and urban fabric. As of 2018, the millennial generation \nwill have an annual spending of 3.39 trillion dollars, surpassing the Baby \nBoomer generation in buying power.3 \n However, millennials have inherited a \ndifferent circumstance from the previous generation, dramatically changing \nthe social, cultural, and economic needs of the millennials. Challenges such \nas climate change, the housing bubble, and an inflated economy, influence \nthe possibilities of future home ownership for this generation. Additionally, the \nelement of technology is intertwined with the day-to-day of millennials. How \nmight technology manifest itself within architecture of the future? And how will \narchitecture adapt to suit the needs and desires of the upcoming generation?
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".