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Record W4226493564 · doi:10.1177/00218863221090305

Unpacking “Sense of Place” and “Place-making” in Organization Studies: A Toolkit for Place-sensitive Research

2022· article· en· W4226493564 on OpenAlex

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

VenueThe Journal of Applied Behavioral Science · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSense of placeUnpackingSociologyScholarshipPhenomenology (philosophy)Relation (database)Set (abstract data type)EpistemologySocial scienceComputer sciencePolitical science

Abstract

fetched live from OpenAlex

There is increasing interest in organizational scholarship in the role of place. To support these developments, we offer a framework for place-sensitive research in organizational analysis. The notion of place refers to a unique location, endowed with a material from and a socially constructed set of meanings. In line with the phenomenology of place, our framework first distinguishes between two ontologies of place: place as experience—through which people develop a sense of place—and place as practice—through which people engage collectively to make places. Second, our framework distinguishes between three temporal orientations in relation to place: past, present, and future. We then draw from research in geography to reflect on two under-explored methodological toolkits to collect data on and analyze place as experience and place as practice in organization studies: walking interviews, and geographical videography.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.089
GPT teacher head0.357
Teacher spread0.268 · 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