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Record W1761704859 · doi:10.3109/07380577.2013.843114

Home Assessment of Person-Environment Interaction (HoPE): Content Validation Process

2013· article· en· W1761704859 on OpenAlexaff
Jacqueline Rousseau, Louise Potvin, Élisabeth Dutil, Patricia Falta

Bibliographic record

VenueOccupational Therapy In Health Care · 2013
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsAdaptation (eye)Occupational therapyFocus groupTest (biology)PsychologyContent analysisMedical educationApplied psychologyQualitative researchPhase (matter)Medicine

Abstract

fetched live from OpenAlex

The purpose of this paper is to present the content validation, including a pilot test, of the Home Assessment of the Person-Environment Interaction (HoPE). The HoPE fills a gap for evaluating issues related to home adaptation. Using qualitative methods, a two-phase study was conducted: an expert consultation and a pilot test. The expert consultation was conducted via focus groups with occupational therapists (n = 20), and individual interviews with adults who had undergone home adaptation (n = 5). The pilot test was undertaken using a multiple case study design of four adults awaiting home adaptation. Data were audio-recorded, transcribed, and analyzed using NUD.IST software. In phase 1, experts agreed with the content of HoPE and suggested minor changes. In phase 2, HoPE enabled occupational therapists to identify handicap-creating situations. After both phases, the final version of HoPE is more comprehensive than other current tools and addresses the complex experiences of clients with whom occupational therapists work which suggests a new approach for practice regarding home adaptation.

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)0.071
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0710.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.206
GPT teacher head0.501
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreMethods

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

Citations18
Published2013
Admission routes1
Has abstractyes

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