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Record W7071317024

Servidores com deficiência de instituições públicas de ensino superior e a pandemia da Covid-19

2021· dissertation· pt· W7071317024 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2021
Typedissertation
Languagept
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationInclusion (mineral)Thematic analysisProcess (computing)Qualitative researchPublic sectorAdaptation (eye)
DOInot available

Abstract

fetched live from OpenAlex

For a long time, people with disabilities were excluded from social life and prevented from performing different occupations. In the course of history, they were segregated, integrated and were only included after the emergence of different social movements related to human rights. Although inclusion policies have been proposed, legislation is still needed to ensure all the real guarantees of opportunities for inclusion in different contexts. Therefore, there are still difficulties to be overcome for the inclusion of everyone. In relation to the labor market, people with disabilities may face difficulties in the process of admission, adaptation and permanence in employment.The same is observed with regard to architectural and urban accessibility, transportation, communication and information.The aim of this study was to describe the process of admission and monitoring of employees with disabilities in public institutions of higher education.Specifically, we sought to identify the demands and problems related to the activities carried out by these servers, and describe the accessibility and types of barriers that exist in a typical workday in the face-to-face and remote period established in the Covid-19 pandemic.In Minas Gerais there are eleven public universities. All of them were contacted and five became partners in this study.The federal public employee of these institutions were sent an electronic invitation containing the formalization for participation and the period for the videoconference. It was used for the online interviews a script with open questions, the Brazil Economic Classification Criteria and the Canadian Occupational Performance Measure. The interviews were recorded, transcribed and submitted to thematic categorical content analysis.The results show a reduced number of employees with disabilities in the institutions, reveal attitudinal, architectural and communication/information barriers, as well as the accessibility of co-workers, and show flaws in the admission and monitoring process of most employees with disabilities in the institutions. The set of information on the subject can help universities improve the process of welcoming and adapting servers with disabilities, as well as assisting in the development of strategies for the inclusion of everyone in the university environment.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.327
Teacher spread0.274 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicDisability Education and EmploymentFrench-language works237,207