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Record W1513795814 · doi:10.3233/wor-2012-01565

Student reflections on unexpected work transitions due to natural disaster in Chile

2013· article· en· W1513795814 on OpenAlexaff
Katherine Marie Felix, Kaity Gain, Emanuel Paiva, Krista Whitney

Bibliographic record

VenueWork · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
Fundersnot available
KeywordsNatural disasterJournaling file systemNatural (archaeology)Identity (music)Work (physics)PerceptionAffect (linguistics)Perspective (graphical)PsychologySocial psychologyPublic relationsSociologyPolitical scienceGeographyAestheticsEngineering

Abstract

fetched live from OpenAlex

OBJECTIVE: This article presents a reflection on four students' experiences on unexpected work transitions due to natural disaster in Chile. PARTICIPANTS: Discussions with locals encountered while traveling throughout Chile prompted the authors to explore the ideas of occupational identity and global stigma attached to unexpected work transitions. METHODS: The authors present here, excerpts from reflective journaling and an exploration of factors affecting certain individual's ability to adapt and regain occupational identity that has either shifted or been lost due to the effects of natural disaster. The authors explore both micro and macro level factors that may affect this occupational shift, and how attempts to maintain occupation after natural disaster is influenced not only by person factors, but largely by global perceptions of the country affected by natural disaster. RESULTS AND CONCLUSIONS: Lastly, the authors reflect on this experience from a student perspective, the impact it has on emerging occupational therapists, and the need for more focused research concerning global stigma and its cascading effects.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.006

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 head0.096
GPT teacher head0.511
Teacher spread0.416 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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