A Threshold for the Homeless: Between the Smooth and the Striated
Bibliographic record
Abstract
In today?s society the homeless are often marginalized because they do not fit the normalized idea of sedentary dwelling in post-industrial societies. This leads to a misunderstanding of the motivations and personal values of those that are homeless. A stigma like this creates a critical disconnect between the people who want help and those that can give it. To counter this detrimental mentality, it is best to create an environment in which this group of people can be free to make personal choices about how they wish to dwell, which may help them better integrate back into their community.Due to Winnipeg?s historical ties to nomadic people and its percentage of these people represented within the homeless population, it seems reasonable to propose that a new type of homeless shelter be placed here; one which strays from the idea that there is a single correct sedentary way to live one?s life. The design encourages free choice between being sedentary or transient; wanting a home or accepting homelessness. The overall proposal is that through a socially conscious and individually focused interpretation of a homeless shelter, these people will be able to live in a way that facilitates purposeful dwelling.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.027 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".