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Record W2055539079 · doi:10.1108/md-03-2012-0179

To explore new avenues: experiential testimonio research

2014· article· en· W2055539079 on OpenAlex
Marie-Noëlle Albert, Marie-Michèle Couture

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

VenueManagement Decision · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsOriginalityExperiential learningValue (mathematics)Qualitative researchEmpirical researchProcess (computing)Management scienceEpistemologyResearch methodPsychologyComputer scienceEngineering ethicsSociologySocial scienceMathematics educationEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to propose a qualitative research method for which the empirical material is drawn from the experience of a practitioner-researcher. Design/methodology/approach – First, a review of other autobiographical methods is made to show that the proposed method offers something different. Subsequently, it briefly outlines the epistemological and theoretical anchors that guided the development of the proposed method. Then it follows the path and the peculiarities of this method. And finally a few guidelines are presented for the legitimization of the knowledge generated, illustrated by an example. Findings – The proposed method is aimed at experienced practitioners who are involved in a process of scientific research. Ideally, it is carried out with a co-searcher. Originality/value – A new method of qualitative research to explore new avenues in management science.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.008

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 head0.098
GPT teacher head0.333
Teacher spread0.234 · 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