Assessing research culture and capacity amongst faculty at a North American chiropractic institution: an explanatory mixed methods study
Bibliographic record
Abstract
Abstract Background Research enables a profession to establish its cultural authority, validate its professional roles and ensure ongoing improvement in the quality of its academic programming. Despite the clear importance of research, a mature research culture has eluded the chiropractic profession. A fostering institutional culture that enables, values, and supports research activity is essential to building research capacity. Our study aimed to collect information about the existing research capacity and culture at the Canadian Memorial Chiropractic College (CMCC) and explore the views, attitudes and experiences of faculty members regarding research. Methods We conducted a sequential explanatory mixed methods study with quantitative priority between April and July, 2023. Quantitative data were collected using the Research Capacity and Culture (RCC) tool. Survey results guided the qualitative data collected from four faculty focus groups with varying levels of research experience. Quantitative data were analyzed using descriptive statistics by domain and stratified by research education and workload. The qualitative data were thematically analyzed and then integrated with the quantitative results to provide deeper meaning to the results. Results The faculty survey response rate was 42% (59/144). Attributes at the organization or department level were consistently rated as either moderate or high; however, research skills at an individual level were more variable and influenced by factors such as research workload and highest research-related academic qualification. Qualitative focus group data were categorized under four themes: institutional factors, resource allocation, career pathways and personal factors. Lower scores for survey items related to mentorship, research planning and ensuring faculty research career pathways, as well as the identified workload and time-related barriers (e.g., other work roles and desire for work/life balance) for engaging in research were supported by each of the four themes. Research motivators included keeping the brain stimulated, developing skills and increasing job satisfaction. Conclusion The quantitative and qualitative information in this study provides a baseline evaluation for RCC and identifies key factors impacting RCC at the CMCC. This information is critical for planning, developing, implementing, and evaluating future interventions to enhance research capacity. Ultimately, these efforts are aimed at maturing the research culture of the chiropractic profession.
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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 | 0.034 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".