Systematic Inquiry into Barriers to Researcher Access: Evidence from a Homeless Shelter
Bibliographic record
Abstract
Geographers using qualitative methods face numerous challenges, including barriers to access to the research setting that emerge through the interactions among the researcher's identity, participants, and the research setting itself. However, few geographers have systematically traced, within a single research setting, (1) how barriers originate, (2) how they subsequently complicate the research enterprise, and (3) how they may potentially be overcome. Upon defining various generic barriers to access, I focus on the origins of, encounters with, and potential strategies to overcome two barriers (factions and spatiotemporal limits) during my research experiences at the Palms Mission, an emergency shelter in Central Los Angeles. Ultimately, understanding the negotiation of these barriers informs the broader research process.
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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 | 0.142 | 0.324 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".