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Ethics in the Age of Technological Change and its Impact on the Professional Identity of Librarians

2015· book-chapter· en· W2923272615 on OpenAlexaff
Deborah Hicks

Bibliographic record

VenueIGI Global eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIdentity (music)Professional ethicsPublic relationsArticulation (sociology)Service (business)Engineering ethicsIdentification (biology)SociologyPolitical scienceLibrary scienceEngineeringBusinessComputer scienceLaw

Abstract

fetched live from OpenAlex

Professional ethics and core values provide professionals with guidance for their actions by helping professionals determine what constitutes right and wrong professional action. Because they are written for and by librarians, these documents offer one articulation of librarians' professional identities. This chapter examines the core values of librarianship with an eye to how they articulate the relationship librarians have with technology. These documents illustrate that librarians understand technology to be a tool that is used to meet the information needs of users. The Social Construction Of Technology (SCOT) is discussed as an alternative approach to the understanding of technology by LIS professionals. SCOT examines the social processes that are behind the development of technologies and highlights how different social groups contribute to the social meaning and even use of technology. SCOT provides an expanded view of ethics that encourages librarians to not only consider their professional ethics when implementing a new technology but also the intentions of the technology's developers, its various users, and their local communities. To illustrate the potential of SCOT for librarians, this chapter explores an examination of how librarians have managed the ethical challenges that Radio Frequency Identification (RFID) has brought to library services, followed by an examination of how librarians interpret their ethical role as service providers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.606

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.167
GPT teacher head0.383
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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