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Global Technoethics and Society

2010· book-chapter· en· W2489390958 on OpenAlexaff
Rocci Luppicini

Bibliographic record

VenueAdvances in information security, privacy, and ethics book series · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInformation and Communications TechnologyGlobalizationPaceCorporationKnowledge managementInformation technologyPolitical scienceSociologyEngineeringBusinessComputer scienceGeography

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.012
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.340
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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