Clarifying contemporary conceptualizations of allyship with LGBTQ2S+ groups in the context of health care or health settings: a scoping review protocol
Bibliographic record
Abstract
OBJECTIVE: The objective of this review is to better understand how allyship is defined in the literature from 1970 to the present with regard to lesbian, gay, bisexual, transgender, queer, two-spirit, and other (LGBTQ2S+) groups within health settings where English is the primary spoken language. INTRODUCTION: LGBTQ2S+ individuals experience health inequities rooted in discrimination. Activism to redress this discrimination in health settings is frequently termed allyship. Definitions of allyship, however, remain ambiguous. A clearer understanding of how allyship is defined and operationalized within health settings is integral to supporting the health of LGBTQ2S+ groups. INCLUSION CRITERIA: Literature in English from 1970 to the present that utilizes the concept of allyship within health care and/or health settings in relation to LGBTQ2S+ groups in Canada and the United States, Australia, New Zealand, and the United Kingdom will be included. METHODS: This scoping review will be conducted in accordance with the JBI methodology for scoping reviews. Databases to be searched will include MEDLINE (OVID), CINAHL (EBSCOhost), APA PsycINFO (EBSCOhost), LGBTQ+ Source (EBSCOhost), Scopus, and Web of Science, along with ProQuest Dissertations and Theses for gray literature. Two independent reviewers will screen titles, abstracts, and full-text articles; discrepancies will be resolved by consensus or with a third reviewer. Data will be extracted using an extraction tool developed by the research team. Findings will be presented in tabular/diagram format along with a narrative summary to highlight key themes that relate to contemporary conceptualizations of allyship with LGBTQ2S+ individuals/groups within health care settings and the implications for health professional practice and health outcomes. REVIEW REGISTRATION: Open Science Framework osf.io/2rek9.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".