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Record W2981537393 · doi:10.3390/educsci9040259

Undergraduate Disabled Students as Knowledge Producers including Researchers: A Missed Topic in Academic Literature

2019· article· en· W2981537393 on OpenAlexafffund
Aspen Lillywhite, Gregor Wolbring

Bibliographic record

VenueEducation Sciences · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsUniversity of Calgary
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health ResearchGovernment of Canada
KeywordsGraduation (instrument)PsychologyMedical educationUndergraduate educationPedagogyMathematics educationMedicineEngineering

Abstract

fetched live from OpenAlex

Research experience is beneficial for undergraduate students for many reasons. For example, it is argued in academic literature and in reports produced by various organizations that engage with science, technology, engineering and math (STEM) education and science education that undergraduate research experience increases the graduation rate in STEM disciplines as well as the amount of students thinking about STEM careers. As such, being researchers should also be of benefit to undergraduate disabled students in all disciplines including STEM education. However, given that undergraduate disabled students encounter many problems within post-secondary education, including STEM education, undergraduate disabled students might encounter problems in becoming researchers. Policies are to be guided by knowledge and evidence. However, knowledge and evidence deficits exist in relation to the lived experience of disabled people. Undergraduate disabled students could decrease the knowledge deficit as researchers and knowledge producers. The numbers of disabled academic faculty are judged as being too low and efforts are under way to increase the number of disabled academics. Increasing the number of undergraduate disabled researchers might increase the available pool of disabled students that pursue an academic career. Given the important role research performed by undergraduate disabled students can play and given that many studies highlight problems for disabled students in post-secondary education in general, we used a scoping review approach to investigate the coverage of undergraduate disabled students as knowledge producers, including as researchers, in the academic literature. Using various search strategies, we obtained 1299 initial hits. However, only 15 had relevant content. No study investigated how undergraduate disabled students select their research topics or how they are enticed to pursue research projects outside of a course-based framework. No study looked at the linkage between being an undergraduate disabled researcher and career choices or using the obtained research skills on the undergraduate level in one’s role as a community member after graduation. Our findings suggest an opportunity for many fields, ranging from disability studies to STEM education, to generate more empirical data and conceptual work on the role of undergraduate disabled students as knowledge producers including as researchers. Such studies could help to increase the numbers of undergraduate disabled students as knowledge producers, including researchers, which in turn could help to increase (a) the number of disabled academics, (b) the number of disabled students who perform research in the community after graduation, (c) the degree success of disabled students and (d) the knowledge available on the social situation of disabled people.

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)0.104
metaresearch head score (Gemma)0.252
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.548

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1040.252
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0190.033
Science and technology studies0.0040.006
Scholarly communication0.0140.023
Open science0.0020.013
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.199
GPT teacher head0.504
Teacher spread0.305 · 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.

Study designTheoretical or conceptual
DomainIncentives
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

Citations34
Published2019
Admission routes2
Has abstractyes

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