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Record W2468466971 · doi:10.1177/0308022615578606

Occupations and personal projects: A comparison of the concepts

2015· article· en· W2468466971 on OpenAlexaffabout
Caroline Arcand-Dusseault, Mary Egan

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsArgumentativeBalance (ability)PsychologyReading (process)Personal developmentOccupational therapyPersonal lifeApplied psychologySocial psychologyEpistemologyPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Introduction The concept of personal projects has been used in occupational therapy research to understand occupation better. However, no clear distinction has been made between personal projects and occupations. An argumentative review was carried out to determine if the concepts of occupation, as outlined in the Canadian Model of Occupational Performance and Engagement and the Person Environment Occupation Model and personal projects are interchangeable. Method Definitions of each concept and seven points of comparison were identified through reading and discussion of key material related to: framework and origins; association with health and well-being; consideration of the environment; individualized and self-directed nature; consideration of aspects of the person; categories; and balance. Findings Occupation and personal projects represent similar concepts when they refer to concrete and time-limited activities. More abstract and extended personal projects may be broken down into more concrete, shorter-term occupations. Differences were noted with respect to consideration of the environment, aspects of the person, categories and balance. Conclusion Differences in the way the environment, aspects of the person, categories and balance are considered in personal projects may provide helpful insights for occupational therapists as they attempt to practice in a client-centered, strengths-based manner with a focus on occupation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.399

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 studies0.0010.000
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 head0.413
GPT teacher head0.559
Teacher spread0.146 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2015
Admission routes2
Has abstractyes

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