Bibliographic record
Abstract
As discussed in Chapter Five, Technoethics and Society is a branch of Technoethics concerned with the ethical use of technology to promote the aims of contemporary society. This includes the study of local organizations (micro level) as well as the study of broader global structures and processes (macro level). Although this section focuses mainly on global technoethics (macros level), it provides a sketch of organizational and global developments to better situate the discussion. Since the beginning of the 20th century, work in organizational studies reflects a continually evolving research area within communications and other fields (human resource management, industrial relations, business management) since the contribution of early classical models of organizations. Classical models provided a new technology (technique) for organizational leaders to help manage increasing large contingencies of workers within a top-down communication structure geared towards maximizing organizational performance and efficiency. The coming of the information age and the development of sophiosicated information and communication technologies (ICT’s) provides additional technology for transforming society and the institutions within it. This was the start of the trend towards the modern day multi-corporation. Continuing progress through human relations and human resource approaches, systems theory, and ideological perspectives (critical, cultural, and feminist) on organizations have reinforced this core work. Rapid technological developments within organizational life, the increasing power of multi-corporations, and the faster pace of organizational change processes, have helped nurture in globalization
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".