Services for Homeless Youth during COVID-19: The Case of a Canadian Community
Bibliographic record
Abstract
This exploratory study aimed to understand how the COVID-19 pandemic has affected a medium-sized community’s frontline workers in the Canadian youth homelessness services sector. This study phenomenological case study elicited practitioner knowledge and experience in servicing homeless youth in a medium-sized community – Kelowna, British Columbia, Canada. Two in-depth focus groups were conducted with a convenience sample of participants (N = 9). Thematic analysis revealed five overarching themes: a) Community Connection, b) COVID-19 Challenges and Services, c) Provider Well-being, d) Successes, and e) Youth Services and Housing. The results illustrate the early impact of COVID-19 on service providers and provision for youth experiencing homelessness, and the adaptations needed to provide them with services during this time. Replication of this research into other regions and social services is recommended. Future research that provides a retrospective account would offer a valuable point of comparison of providing social services to homeless youth during and after COVID-19 public restrictions.
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".