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Record W4413187333 · doi:10.1080/10437797.2025.2530747

Not the Heart Stuff: Early-Career Child Protection Social Workers and Preparation for Difficult Work

2025· article· en· W4413187333 on OpenAlexaboutno aff
Florence Glanfield

Bibliographic record

VenueJournal of Social Work Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workWork (physics)Child protectionPsychologyPedagogySociologyMedical educationPublic relationsMedicineNursingPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Social work educators have been trying to understand how best to prepare social work students for the difficult aspects of social work practice for many years and there continues to be a need to improve the social work education curriculum in relation to this issue. This article describes a study of Canadian early-career child protection social workers who graduated from an accredited social work program less than 2 years ago, had less than 2 years of child protection practice experience, and were under the age of 30, as well as their perceptions of the challenges they have experienced in their practice and their perceptions of how their social work education prepared them for these challenges. In this qualitative, interpretive description study, the intensity of the participants’ experiences are compared to the depth of their educational preparation. Recommendations regarding social work curriculum development are discussed. The findings emphasize the need to build an in-depth curriculum that is more consistent with the experiences of early-career social workers.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.607
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.365
Teacher spread0.333 · 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.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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