Discrimination in the Housing Market: A Literature Review
Bibliographic record
Abstract
Housing is one of the three basic needs of man alongside food and clothing. Housing is globally recognized as a fundamental human right. Housing has a positive impact on man’s welfare, health, efficiency, social behavior, satisfaction, and employment opportunities etc. Man’s access to housing can be frustrated by discrimination, and this discrimination occurs on various grounds. This study reviewed extant literatures on housing discrimination with the aim of revealing key findings, and gaps in literatures so as to set up future research agenda. The study made use of literatures extracted from Google scholar. . This study found that the housing discrimination occurs along the line of gender, race, ethnicity, religion, language, age, marital status, disabilities, income level, occupation, immigration status, family size, sexual orientation, nationality, color of skin, gender identity, victims of domestic violence, and ex-offenders. Most studies on housing discrimination has been carried out in United States, Germany, and Canada. This study found that there is paucity of study on housing discrimination in Nigeria, and there is need to fill this gap in literature.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".