Geo-ethnography: Coupling Geographic Information Analysis Techniques with Ethnographic Methods in Urban Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research article focuses on the coupling of geographic information system (GIS) technologies with ethnographic data, an approach we refer to as geo-ethnography. The data used here were gathered in an ongoing, multi-site study of low-income families and their children. Throughout our work, the goals have been to think creatively about how GIS can be used in welfare research, to stretch the technology, and to revise the methodologies we currently use. We specifically discuss the ways in which the ethnographic data on families and neighbourhoods have been integrated within a GIS and how these two methods, alone and in combination, help situate families’ actions and experiences in time and space and enhance data analysis and interpretation. More specifically, we focus on conceptual and methodological issues we have faced in the process of this integration and on practical strategies for combining qualitative and quantitative research.
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.
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| 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 it