Understanding discrimination towards persons experiencing homelessness: A scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Given the increasing rates of homelessness in recent years, there is an urgent need to address the ongoing discrimination and societal disinterest in preventing, reducing and ending homelessness. There is no systematic review of experiences of stigma and discrimination among persons experiencing homelessness or interventions to combat this discrimination. The objective for the proposed study is to identify ways in which persons experiencing homelessness have been stigmatised and discriminated against, the results of these experiences, and interventions to reduce stigma and discrimination towards persons experiencing homelessness. METHODS AND ANALYSIS: We are conducting a scoping review with guidance from the JBI Manual for Evidence Synthesis and Arksey and O'Malley's framework. From 15 to 19 July 2022, we searched the following databases from our institutional licensed years of coverage: Medline, Embase, CINAHL Complete, Academic Search Ultimate, APA PsycINFO, Science Citation Index Expanded, Social Sciences Citation Index, Arts & Humanities Citation Index, Emerging Sources Citation Index, Left, PAIS International, PILOTS, Psychology & Behavioral Sciences Collection, Sociological Abstracts, and Dissertations and Theses Global. Two independent reviewers are screening study titles/abstracts and will independently screen the full texts. Study inclusion criteria include any study type reporting primary findings of English-language research on non-refugee persons experiencing homelessness in any type of setting or service worldwide. Three reviewers will then chart data of our included studies. Data will be extracted and organised into categories and subthemes in tabular form. To understand the validity of the scoping review findings in the local context and to gather additional perspectives on the topic, we will conduct an 'expert consultation' workshop. ETHICS AND DISSEMINATION: This study has ethics approval from the University of Utah Institutional Review Board. Review findings will be disseminated through a peer-reviewed journal and at conferences. We plan to preregister this protocol with Open Science Framework.
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 | 0.128 | 0.096 |
| Meta-epidemiology (narrow) | 0.006 | 0.008 |
| Meta-epidemiology (broad) | 0.014 | 0.011 |
| Bibliometrics | 0.021 | 0.018 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.078 | 0.019 |
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".