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Record W3040711787

A Divided Role : - a qualitative study exploring how public library professionals are facing change within their profession

2019· article· en· W3040711787 on OpenAlexaboutno aff
Jenny Nilsson

Bibliographic record

VenueDiVA (Linnaeus University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenonQualitative researchPublic relationsEmpirical researchPolitical scienceSociologyEngineering ethicsSocial scienceEngineeringEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Due to changes within the public library profession and a lack of previous research regarding its societal role, this essay explores this phenomenon. The objective of this empirical study is to explore the societal role of public library professionals in Canada through the analyzation of semi-structured interview transcripts and a guideline document for professionals. The results were analyzed and sensitized through the theoretical frameworks of Abbott’s professionalization theory (1988) and Bourdieu’s praxeology theory (1986; 1992). Through grounded theorization, the study found that the role of professionals has changed, and is changing, due to not only external but also internal factors in the form of a conflict. This conflict was conceptualized through sensitization of Bourdieu’s framework as challenging and enabling ideas of the doxa of the profession. This conceptualization was understood further through the lens of Abbott’s system of professions where claims of expertise, which is viewed as a crucial part of professionalization, was theorized as an important part of that conflict.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.371

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0200.015
Scholarly communication0.0050.005
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.194
GPT teacher head0.325
Teacher spread0.131 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2019
Admission routes1
Has abstractyes

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