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Record W7002342745

Music Therapy and the Advancement of Family-Centred Care in the Neonatal Intensive Care Unit: A Philosophical Inquiry

2022· dissertation· en· W7002342745 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
Fundersnot available
KeywordsDignityMusic therapyNeonatal intensive care unitIntensive careAnxietyHealth careNeonatal nursing
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this philosophical inquiry was to understand and articulate the barriers to Family-Centred Care (FCC) implementation, to connect Neonatal Intensive Care Unit Music Therapy (NICU MT) to the principles of FCC, and to position music therapy as a unique and important contributor to the advancement of FCC principles within the Canadian NICU context. Since the inception of NICU MT as an area of specialization in the 1990’s, the shift towards FCC perspectives has been reflected in music therapy research, with significant outcomes for both improved physical parameters of fragile infants and the reduced anxiety and stress of parents. While NICU MT alignment with a FCC approach has become common, there has been limited explicit discourse on this alignment. This inquiry provides a comprehensive alignment of NICU MT’s research and approaches with the four FCC principles of Dignity and Respect, Information Sharing, Participation, and Collaboration, while articulating some of the systemic barriers that have impeded the full implementation of FCC. Canada’s unique health care system, in combination with the burgeoning NICU MT field worldwide, sets the stage for new and innovative models of care that are truly family centred.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.060
GPT teacher head0.315
Teacher spread0.255 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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