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Record W2604274566 · doi:10.1177/0008417417701936

Collective occupation in public spaces and the construction of the social fabric

2017· article· en· W2604274566 on OpenAlexvenueno aff
Sarah Kantartzis, Matthew Molineux

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersLeeds Beckett UniversityUniversity of Southern California
KeywordsCollective actionEthnographySociologyNarrativePower (physics)Occupational scienceAction (physics)Gender studiesSocial psychologyPoliticsPsychologyOccupational therapyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

BACKGROUND: Contemporary research is expanding understandings of occupation beyond that of the individual's doing, including the shared and social nature of occupation. The concept of collective occupation has been introduced to capture this broader understanding. PURPOSE: This study aimed to explicate the concept of occupation in a Greek town. METHOD: Ethnographic methodology was used and primary data were collected through observation, participation, and informal interviews. Analysis involved a hermeneutic process to develop a narrative of occupation in the town, including action, setting, and plots. FINDINGS: Occupation, a dynamic and multidimensional process, served to maintain the self, family, and social fabric and balance between and within them. Collective occupation maintained the social fabric through three forms: informal daily encounters in public spaces, organization and associations, and celebration and commemoration. IMPLICATIONS: Occupational therapists may consider engaging with the potential power of such collective occupation when working toward social change to enable just and inclusive societies.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
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 head0.307
GPT teacher head0.503
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designObservational
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

Citations49
Published2017
Admission routes1
Has abstractyes

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