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Record W3151027779 · doi:10.1080/14427591.2021.1896570

Structural factors affecting community mobility for people with mobility impairments in Iceland: A human rights and occupational perspective

2021· article· en· W3151027779 on OpenAlexaff
Sigrún Kristín Jónasdóttir, Snæfríður Þóra Egilson, Jan Miller Polgar

Bibliographic record

VenueJournal of Occupational Science · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsWestern University
Fundersnot available
KeywordsConsistency (knowledge bases)Transparency (behavior)Perspective (graphical)Citizen journalismAffect (linguistics)SociologyPublic relationsBusinessPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Moving between places in the community, or community mobility, is both an occupation and a means to other occupations. In order to move around and participate in society, people with mobility impairments need modifications as they encounter multiple barriers in their everyday lives. This discussion paper makes recommendations for policy development, especially as it relates to accessibility and transportation services for disabled people. This work highlights aspects that need to be incorporated into policy making to support community mobility for people with mobility impairments: (1) Incorporation of occupational values; (2) Participatory policy making; (3) Consistency and transparency in policy documents; and (4) Comprehensive monitoring system. The recommendations are discussed and reflected upon in the light of human rights, occupational science, and the Capabilities Approach. This paper highlights issues that arise at the system level and how limitations of policies and their implementation can lead to multiple capability failures and violations of human rights – such as the difficulties people with mobility impairments face if society fails to provide the necessary means to support their community mobility – and the various ways that situation may affect their other chosen occupations.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.149
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.106
GPT teacher head0.487
Teacher spread0.381 · 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 designQualitative
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

Citations5
Published2021
Admission routes1
Has abstractyes

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