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Political Work in Navigating Inhabited Institutions: Healthcare Research that Advances Theory

2024· article· en· W4400443892 on OpenAlexaff
Trish Reay, Elizabeth Goodrick, Thomas D’Aunno, April L. Wright, Gemma Irving, Tammar B. Zilber, Patricia Satterstrom, Michaela Kerrissey, Zuhur Balayah, Amit Nigam, Charitini Stavropoulou

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPoliticsWork (physics)Health carePolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

Framed from a perspective of inhabited institutionalism, this symposium brings together four empirical studies situated in the healthcare field that advance understanding of how actors use power and engage in political work to construct, maintain, and change institutions. These studies reveal new insights concerning actor interactions within institutionalized settings that provide important avenues for developing theory that can inform healthcare practice. Discussion of the presentations collectively will help to advance these novel approaches. Power Relations in Places of Social Inclusion Author: April L. Wright; Warwick Business School Expanding Contributions in Multidisciplinary Teams Author: Patricia Satterstrom; New York U. Attention-Crafting of Change Agents in Pluralistic Organizational Contexts Author: Zuhur Balayah; City, U. of London Author: Amit Nigam; City, U. of London Like Life, Like Death: The Work of Power at the End-of-Life Author: Tammar B. Zilber; Hebrew U. of Jerusalem

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)0.014
metaresearch head score (Gemma)0.011
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 score0.019
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.088
Scholarly communication0.0190.024
Open science0.0020.011
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.128
GPT teacher head0.455
Teacher spread0.327 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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