Ethical Sensitivity: State of Knowledge and Needs for Further Research
Bibliographic record
Abstract
Ethical sensitivity was introduced to caring science to describe the first component of decision making in professional practice; that is, recognizing and interpreting the ethical dimension of a care situation. It has since been conceptualized in various ways by scholars of professional disciplines. While all have agreed that ethical sensitivity is vital to practice, there has been no consensus regarding its definition, its characteristics, the conditions needed for it to occur, or the outcomes to professionals and society. The purpose of this article is to explore the meaning of the concept of ethical sensitivity based on a review of the professional literature of selected disciplines. Qualitative content analysis of the many descriptors found within the literature was conducted to enhance understanding of the concept and identify its essential characteristics. Ethical sensitivity is considered to be an emerging concept with potential utility in research and practice.
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
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 | 0.061 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.014 | 0.023 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.013 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".