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Record W2531259539 · doi:10.1037/cap0000072

What are the opportunities and challenges for Canadian psychology?

2016· article· en· W2531259539 on OpenAlexaffabout
Leah Beaulieu, Emma Schmelefske

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

A recent issue of Canadian Psychology was dedicated to the topic of opportunities and challenges for psychology in Canada, and included papers that addressed a number of different issues, including, for example, lobbying, professional identity, ethics, the training of psychologists, the public image of the profession, and the use of new technologies (Counsell, Cribbie, & Harlow, 2016; Drapeau, Holmqvist, & Piotrowski, 2016; Hartman, Fergus, & Reid, 2016; Karesa & McBride, 2016; Campbell et al., 2016; O'Neill, 2016; Roy, 2016; Votta-Bleeker, Tiessen, & Murdoch, 2016).However, Canadian psychologists offer a variety of services to a diverse Canadian population in settings such as academia, the hospital system, and independent practice. This diversity means that psychologists working in different areas, whether they differ by geographical area or area of practice, may have varying needs and concerns. The goal of the current paper was to identify and understand the challenges and opportunities that psychologists across the country and discipline perceive in their field today. Specifically, we were interested in answering the following question: what are the most important challenges and opportunities that exist in Canadian psychology today? Our intention was not to conduct a study addressing this question; rather, we wanted to begin a discussion with colleagues who have leadership roles in psychology in Canada. In order to begin reflecting on possible answers to this question, we contacted the president/director of each provincial/territorial association (n = 10) and provincial/ territorial regulatory body (n = 11), as well as the chair of each CPA section (n = 32), by e-mail, asking them what they considered to be the greatest opportunities and challenges in their province or area of specialisation, respectively. Five provincial/territorial associations, two provincial/territorial regulatory bodies, and 23 CPA section chairs provided responses to our e-mail. Five themes concerning opportunities and five themes concerning challenges were extracted based on similarities across all responses. Here is what these colleagues had to say.What Are the Opportunities for Canadian Psychologists?Interdisciplinary TeamsSeveral of our colleagues noted the growing number of opportunities to work in interdisciplinary For example, Juanita Mureika, Chair of the CPA Section on Educational and School Psychology, indicated that the role of school psychologists expanded dramatically, and emphasis on 'routine assessment,' usually defined by the administration of a few tests, has been replaced by a focus on working on multi-disciplinary teams. This emphasis on working in interdisciplinary teams may provide clients with more comprehensive treatment and assessment. In addition to conferring benefits upon clients, our colleagues noted that collaboration among professionals provides benefits to psychologists themselves. Dr. Deanne Simms, Chair of the CPA Section for Psychologists in Hospitals and Health Centres suggested that:. . . psychologists working in hospitals and health centres are in a setting wherein they share patients with other health care providers. This atmosphere of shared care allows psychologists to derive peer support from colleagues to help guard against isolation, stagnation, and burnout.Preventing burnout through working in interdisciplinary teams may in turn provide clients with improved care, because psychologists will be better able to handle challenges that can arise in their professional and personal lives. Indeed, clinicians were not the only respondents to note the benefits of interdisciplinary collaboration. For example, Dr. Manuel Riemer (member of the Section for Community Psychology) explained that working in partnership with representatives from the community, industry, and government is no longer an exception but has, in many ways, become the expectation for competitive research grants. …

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)0.019
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.981
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.009
Science and technology studies0.0590.018
Scholarly communication0.0280.012
Open science0.0050.009
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0180.003

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 head0.823
GPT teacher head0.624
Teacher spread0.199 · 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
DomainEvaluation
GenreCommentary

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

Citations8
Published2016
Admission routes2
Has abstractyes

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