Representation, archaeology and genealogy: Three “spatial metaphors” for inquiring into nursing phenomena with Foucauldian discourse analysis
Bibliographic record
Abstract
Foucault used the "Quadrilateral of Language" metaphor to describe how language functioned in what the French called the Classic Age, roughly 1650 to 1800, the period from Descartes to Kant. His purpose was to show how the functions of language changed radically with the arrival of the Modern Age (~1800). Foucault developed his archaeological methods to investigate the impact of this change, but later revised his methods to introduce genealogical strategies to conduct "histories of the present". Our purpose in this paper is to clarify Foucault's thinking about ruptures in the functions of language and to show their implications for analyzing nursing discourse. Our account provides an overview of radical changes in both the functions of language and in Foucault's analytical methods. Drawing on Foucault's "Quadrilateral of Language", his anthropological quadrilateral, and our spatialized conception of his genealogical methods, we critique advanced nursing practice (APN) discourse and invite others to inquire into nursing phenomena with spatialized thinking.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.078 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".