Displacement and Emplacement of Health Technology
Bibliographic record
Abstract
The provision of “closer-to-patient” services has increased in most industrialized countries. However, the migration of services in non-traditional health care settings implies redefining the role of technical and human entities and transforming the nature and use of technologies and places. Drawing on various scholarly efforts to conceptualize space, place, and technology, this paper compares and contrasts satellite and mobile dialysis units implemented in two regions in the province of Quebec, Canada. The satellite units were hosted in two small, local hospitals where nursing staff had been recently trained. The mobile unit was a bus adapted to host five dialysis stations; nurses traveled back and forth between a university teaching hospital and two sites located within a radius of 7.6 miles. In both projects, nephrologists supervised from a distance via a videoconferencing system. Our aim is to illustrate the ways in which the displacement of technical and human entities gives shape to new forms of emplacement in non-traditional health care settings. The satellite and mobile units contributed to the culture of dialysis care and transformed the identity of nurses, doctors, patients, and technologies. By contrasting two projects involving different spatial and clinical logics, we analyze in what ways certain forms of recombination of human and technical entities can prove incomplete but nevertheless acceptable to providers and project managers.
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
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 | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | Science and technology studies Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.051 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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.
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".