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Record W2000426537 · doi:10.3109/02699052.2013.823666

Clarifying the link between traumatic brain injury and homelessness: Workshop proceedings

2013· review· en· W2000426537 on OpenAlexafffund
Jane Topolovec‐Vranic, Naomi Ennis, Donna Ouchterlony, Michael D. Cusimano, Angela Colantonio, Stephen W. Hwang, Pia Kontos, Vicky Stergiopoulos, Lisa A. Brenner

Bibliographic record

VenueBrain Injury · 2013
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity Health NetworkSt. Michael's HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsTraumatic brain injuryMultidisciplinary approachPsychologyDisseminationStakeholderMedicinePsychiatryClinical psychologyPolitical sciencePublic relations

Abstract

fetched live from OpenAlex

PURPOSE: To disseminate the proceedings of a 1-day multidisciplinary stakeholder workshop aimed at examining the inter-relationship between traumatic brain injury (TBI) and homelessness. METHODS: Thirty-seven stakeholders participated in the workshop, including frontline workers with individuals who are homeless, physicians, nurses and other healthcare workers, researchers, policy-makers, students and individuals with lived experience of homelessness. Didactic presentations, large group discussions and break-out sessions were used to disseminate knowledge, identify service and research gaps, develop a research agenda and facilitate networking. RESULTS: The participants identified barriers to service provision for individuals who are homeless and have sustained TBI with a focus on age- and gender-related issues, co-morbid TBI and mental illness and jurisdictional differences. Challenges and strategies related to engaging stakeholders in research with this population, as well as disseminating knowledge were discussed and research questions were identified. CONCLUSION: There is very little empirical literature on the topic of TBI and homelessness. The workshop identified key issues for consideration, including gaps in knowledge related to this topic.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.162
GPT teacher head0.463
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations10
Published2013
Admission routes2
Has abstractyes

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