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Record W2995206501

Integrating mainstream and indigenous approaches in a private clinical setting

2019· dissertation· en· W2995206501 on OpenAlexaboutno aff
Anne Marie Iserhoff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2019
Typedissertation
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamIndigenousMedicineData sciencePolitical scienceComputer scienceBiologyEcology
DOInot available

Abstract

fetched live from OpenAlex

This report thoroughly examines and discusses my Advanced Practicum experience. The practicum was completed from October 23rd, 2017 to March 6th, 2018 within Tremblay Counselling Services of Timmins, Ontario. The primary learning objective was to critique the applicability of certain theories and approaches such as Cognitive Behavior Therapy, which are highlighted in the literature review while reflecting on how I could integrate an Indigenous framework within my practice approach. The Advanced Practicum offered an experiential learning experience, which was a more enriched opportunity to observe, assess, and critique the theoretical models utilized within therapy. In addition to my placement, a parenting group pilot project was also initiated. This project was an opportunity to learn about group facilitation and group processes. Primarily, the goal was to disseminate awareness and education concerning intergenerational trauma and its residual impacts on individual, familial, and community wellbeing. Essentially, the parenting group pilot project sought to fill a gap in services pertaining to Indigenous led support groups as it was discovered that culturally congruent interventions were lacking, specifically within the community of Timmins. Throughout my practicum placement, the integration and process of reflection was a key component in fostering self-awareness and professional development, which positively shaped my identity as an Indigenous practitioner. My goals for completing the Advanced Practicum sought to enhance, build, and strengthen my clinical skillsets while gaining confidence as I am wholeheartedly drawn to Indigenous mental health social work practice.

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)0.016
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.014
Scholarly communication0.0060.005
Open science0.0030.021
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.002

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 head0.089
GPT teacher head0.392
Teacher spread0.304 · 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.

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
Published2019
Admission routes1
Has abstractyes

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