Potential outcomes of work integration social enterprises for people who are homeless, at risk of homelessness, or transitioning out of homelessness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Social enterprise has the potential to serve as a mechanism of social and economic opportunity for persons experiencing homelessness. This paper aims to identify potential outcomes of work integration social enterprises (WISEs) for people who are homeless, at risk of homelessness, or transitioning out of homelessness. Design/methodology/approach Searches of 14 databases were completed using keywords and subject headings pertaining to homelessness, social enterprise and employment, respectively. These searches were then combined to identify literature concerning WISEs with homeless populations. The initial search yielded 784 unique articles. Through screening, 29 articles were selected and independently coded to establish themes. Findings The analysis identified the potential for WISEs to contribute positively to the lives of the target population in the areas of connection to the community, employment skill building, mental health, personal agency and empowerment, relationship-building, structure and time use, financial stability and housing. There were less positive and mixed findings regarding substance use, crime/delinquency, physical health and transition to mainstream employment. Future research should further explore causal relationships between WISE approaches and strategies and their potential implications for persons emerging from homelessness. Originality/value Prior to this research, there have not been any recent publications that synthesize the existing body of literature to evaluate the potential outcomes of WISE participation for homeless populations. This paper lays the groundwork for future empirical studies.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it