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Record W2954124671 · doi:10.1108/jhrm-12-2018-0057

An assemblage theoretic perspective on a career in progress

2019· article· en· W2954124671 on OpenAlex
Eileen Fischer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Historical Research in Marketing · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsYork University
Fundersnot available
KeywordsAssemblage (archaeology)Perspective (graphical)OriginalityValue (mathematics)SociologyThrough-the-lens meteringEpistemologyLens (geology)Social scienceComputer scienceEngineeringHistoryArtificial intelligencePhilosophyQualitative research

Abstract

fetched live from OpenAlex

Purpose The aim of this paper is to provide an advanced understanding of the dynamics of a scholarly career. Design/methodology/approach An assemblage of a theoretic lens was adopted to help make sense of how the focal scholar came to have certain capacities and characteristics and how these evolved over time. Findings The critical determinants of the capacities of this scholar have arisen from intersections with the institutions she has been a part of and individuals with whom she has been privileged to interact. Originality/value This paper is the first to adapt an assemblage theoretic lens to make sense of a professional’s career accomplishments and trajectory and to draw inferences for career management from this perspective.

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.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.334
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