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Record W2779267149

Meeting the challenge of deaf and hard of hearing students transitioning to secondary school : parent and student perspectives / by Lisa Tropea.

2017· dissertation· en· W2779267149 on OpenAlexaffabout

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsLakehead University
Fundersnot available
KeywordsPsychologyMathematics educationAudiologyPedagogyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this qualitative study was to investigate the perspectives of parents of deaf and hard of hearing students who were ready to make the transition from elementary school to secondary school or who had recently done so. In addition, the objective was to converse with the deaf and hard of hearing students themselves and the parents in order to determine what the parents and children believed to be the benefits and potential barriers of the children's educational placements.
\nQualitative research methods were used, including the use of an interview guide (Patton, 2002) and field notes. Data was collected using two separate focus groups, one group of three parents and one group of six students in grades nine or ten. All of the participants were oral deaf (hearing impaired students who could communicate orally) or hard of hearing students who
\nattend the same school and who have all recently made the transition to secondary school. Both groups of participants reflected upon their past and present experiences regarding class placement, transition and learning in an inclusive environment. Data collection took place in a large urban centre in Northwestern Ontario. Throughout the research process, data analysis was continuous. Findings disclosed that students with hearing loss and their parents have similar concerns regarding inclusion, class placement and the transition of deaf and hard of hearing students from elementary to secondary school.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.335
Teacher spread0.292 · 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.

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

Citations0
Published2017
Admission routes2
Has abstractyes

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