An account from the inside: Examining the emotional impact of qualitative research through the lens of “insider” research.
Bibliographic record
Abstract
The benefits and challenges of insider positionality have been much written about in relation to qualitative research. However, the specific emotional implications of insider research have been little explored. In this manuscript, I aim to bring the literature on insider positionality to the study of emotion in qualitative research through a reflection on my experiences as a "total insider" conducting interviews for a longitudinal qualitative study examining mental health during the transition to parenthood among sexual minority women. On the basis of this experience, I highlight emotion-related benefits and challenges of my insider positionality, as they pertain both to the quality of the research and to my personal experiences as a qualitative researcher. In particular, I examine the potential benefits of my insider positioning for establishing rapport and my capacity for empathy, and the personal emotional growth and learning that my insider positioning made possible for me. With respect to challenges, I examine how my emotional investment in the researcher-participant relationship influenced my role as a research instrument, and discuss the difficulties I encountered in managing appropriately boundaried relationships and making decisions about self-disclosure. I close by highlighting promising avenues for further exploration of the emotional implications of insider research, from the perspectives of both researchers and participants.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | medium |
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 | 0.123 | 0.153 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.019 | 0.061 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".