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Record W7154433419

2021-May-24-Dr Brenda Louw awarded Carnegie Fellowship for third time

2021· article· W7154433419 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - East Tennessee State University (East Tennessee State University) · 2021
Typearticle
Language
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaWork (physics)BrainstormingState (computer science)African studies
DOInot available

Abstract

fetched live from OpenAlex

h2> Carnegie African Diaspora Fellowship Program Dr. Brenda Louw, of ETSU, left, is leading one of 56 projects nationwide that pairs African Diaspora scholars at higher education institutions with peers in Africa to work together. She is pictured with Professor Juan Bornman of University of Pretoria. JOHNSON CITY (May 24, 2021) – Dr. Brenda Louw, professor in the Department Audiology and Speech-Language Pathology at East Tennessee State University (ETSU), was recently awarded a fellowship by the Carnegie African Diaspora Fellowship Program to collaborate with Juan Bornman, professor in the Center for Alternative and Augmentative Communication, University of Pretoria (UP), in Pretoria, South Africa. The ETSU-UP project, Empowering Speech-Language Therapists in Africa through Leadership and Advocacy, is one of 56 projects nationwide that pairs African Diaspora scholars at higher education institutions with peers in Africa to work together. The Carnegie African Diaspora Fellowship Program (CADFP) is designed to develop long-term, mutually beneficial collaborations between universities in Africa and the United States and Canada. The COVID-19 pandemic precluded Louw from travelling to South Africa to work with Bornman on their research and present a workshop at the University of Pretoria. “CADFP offered the option of going virtual, so we had to brainstorm and recalibrate as our project is of importance to the profession of speech-language pathology (SLP) in Africa,” said Louw. More than 200 million children under the age of 5 live in low-middle-income countries (LMICs), and are not fulfilling their developmental potential, according to Morelli, et al. (2017). These children are at high risk for developing speech-language disorders, which not only result in significant interpersonal communication challenges (including caregivers, families, peers, and health care providers), but also negatively impact on the child’s growth, long-term development, learning and education, and ultimately employment and contribution to society, explained Louw. “Our project will address this need,” Louw said. “Although leadership is an inherent quality and characteristic of the speech-language therapy profession, formal training for the development of a skills set and abilities is lacking. Speech-language therapists are uniquely positioned to advocate at a policy and practice level for the importance of strengthening communication skills, which is a basic human right. It is imperative that advocacy is approached on two levels: to promote the self-advocacy of the clients with disabilities with whom therapists work; and to advocate for the agency and rights of the disability community with whom therapists’ partner.” This leadership project will start with research on leadership in health care professions to serve as the theoretical underpinning for a series of custom-designed training modules on leadership and advocacy for the SLP profession. Graduate and doctoral students from both universities, and families and associations in African countries will also be included in developing the module content. These modules will be posted on an online platform to be accessible to different countries across the African continent. “The project will conclude with participants evaluating the different modules through a Commitment to Change tool that we developed earlier,” said Louw. “Although COVID-19 disrupted our original planning, the result of our recalibration will expand our project’s potential reach when compared to an on-site workshop that we originally planned,” she continued. Louw also will present a paper on their previous collaborations, which resulted in the translation of clinical tools for children with communication disorders and the development of an assessment tool for continuing education of professionals, at the CADFP Annual Alumni Convening conference, to be held in Washington, D.C., Oct. 7-8, 2021. # # # Morelli, G., Quinn, N., Chaudhary, N., Vicedo, M., Rosabai-Coto, M., Keller, H., Murray, M., Gottlieb, A., Scheidekcer, G., & Takada, A. (2017). Ethical challenges of parenting interventions in low- to middle-income countries. Journal of Cross-Cultural Psychology, 49(1), 5-24. https://doi.org/10.1177/0022022117746241

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.615
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.6150.395

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 head0.195
Teacher spread0.142 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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