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Record W2802959384 · doi:10.1108/joe-12-2017-0066

Coming “home” to do glocal engaged scholarship? A reflexive account of managing competing commitments during an organizational ethnography

2018· article· en· W2802959384 on OpenAlexaff
Kirstie McAllum

Bibliographic record

VenueJournal of Organizational Ethnography · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGlocalizationSociologyReflexivityEthnographyScholarshipOriginalityValue (mathematics)ConfessionalParticipant observationEpistemologySocial sciencePublic relationsQualitative researchPolitical scienceAnthropologyGlobalizationLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to focus on how the author’s status as an international academic wanting to maintain “local” research relationships in the author’s country of origin both improved and derailed the process of conducting an organizational ethnography. Design/methodology/approach Using visual representations of the research design process inspired by Maxwell’s (2013) model, the paper traces the evolution of a glocal engaged scholarship project and the personal, professional, and commitments that pulled the researcher and the research project in competing directions. Findings The first iteration of the project showed that, despite geographical nomadism, the author was firmly anchored to professional norms and methodological choices, with these attachments to values, principles, and practices constituting a global academic “home.” As the project unfolded, local organizational needs and desires that called into question the researcher’s local organizational knowledge and methodological choices destabilized the author’s sense of home, creating a situation of “away-ness” that acted as a catalyst for reflexivity about the project and relationships with organizational partners. Originality/value By overturning a view of home as being rooted in a particular locale and homelessness as being nomadic, this confessional tale problematizes the idea that some organizational ethnographers and projects are local while others are foreign.

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)0.064
metaresearch head score (Gemma)0.070
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0160.082
Scholarly communication0.0210.021
Open science0.0040.018
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.282
Teacher spread0.251 · 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.

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

Citations5
Published2018
Admission routes1
Has abstractyes

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