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Record W2969479516 · doi:10.1111/nin.12318

Neoliberalism and neoliberals: What are we talking about?

2019· article· en· W2969479516 on OpenAlexfundno aff
Martin Lipscomb

Bibliographic record

VenueNursing Inquiry · 2019
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
FundersSwansea UniversityUniversity of Alberta
KeywordsPejorativeNeoliberalism (international relations)Argument (complex analysis)Variety (cybernetics)VirtueSociologyEpistemologyPolitical scienceSocial scienceLawPhilosophyMedicine

Abstract

fetched live from OpenAlex

The terms neoliberalism and neoliberal play a variety of roles ranging from major to trivial in the papers they appear in. Both phrases carry pejorative connotations in nurse writing. Yet irrespective of the role assumed in argument, readers are rarely provided with enough information to determine what the descriptors mean in a substantive or concrete sense. It is proposed that scholars who use these terms in their work should consider expressing themselves more carefully than often occurs at present. Virtue signalling in academic writing should, absent critical argument, be discouraged.

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)0.037
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.038
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.075
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.010
Science and technology studies0.0140.121
Scholarly communication0.0380.060
Open science0.0040.011
Research integrity0.0120.021
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.052
GPT teacher head0.341
Teacher spread0.289 · 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 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

Citations5
Published2019
Admission routes1
Has abstractyes

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