Organizing precision oncology: introduction to the special issue
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 Special Issue (SI) on “Organizing precision oncology” features a number of articles initially presented at an International Workshop on “Organizational and epistemic innovation in precision cancer medicine” that took place in November 2018 in Paris. The Workshop was convened to mark the conclusion of a project supported by the French National Cancer Institute (INCa), entitled “Targets and trials: A sociological investigation of personalized cancer medicine in action (PERSONA).” The papers included in the SI investigate the implementation of precision oncology by focusing on the nexus between organizing and experimenting. The SI thus includes contributions that interface Science & Technology Studies (STS) and Organization Studies to analyze how clinicians and researchers deploy genomic platforms and the socio-technical and organizational arrangements that act as a condition of possibility for the performance of this new kind of clinical medicine.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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