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Record W2031530677 · doi:10.1108/13665620610682071

Mentor or evaluator? Assisting and assessing newcomers to the professions

2006· article· en· W2031530677 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Workplace Learning · 2006
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsPracticumPsychologyMedical educationProcess (computing)Professional developmentWork (physics)PedagogyMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

Purpose A four‐year longitudinal study was conducted on the school‐to‐work transition in four professions traditionally called “helping professions,” namely education, social work, occupational therapy, and physiotherapy. One goal of the study was to understand the nature and process of the mentoring relationships that develop and sustain newcomers in their professional life, especially the possible tension between the roles of mentor and evaluator. It was expected that this would help us in our jobs of preparing student practitioners and supporting their mentors and would offer models of practice suitable for other occupations. Design/methodology/approach Teams of researchers visited university students involved in professional training and engaged in a practicum during their final year at university. The students and their supervisors were interviewed separately according to a semi‐structured protocol, and each interview, lasting between 40 and 60 minutes, was audiotaped and transcribed. Findings An inherent contradiction between supervision‐as‐mentoring as the literature defines it and supervision‐as‐evaluation – as the universities and professions demand was observed. Evaluation as it is practiced often includes intangibles, even though the intended evaluation seems well‐defined. Practical implications Although this study was focused on practice in four particular professions, it is believed that the findings may be extrapolated to any enterprise where experienced practitioners are placed in a supervisory role with newcomers and are expected to perform the potentially conflicting role of mentor and evaluator. If the same person must mentor and evaluate the newcomer, they must be trained in these roles, evaluation guidelines must be clearly defined, and dialogue is of prime importance. Originality/value The paper focuses on the role of the universities in the preparation of new entrants to the “helping professions” and offers some suggestions for their support – which are generalizable to any workplace where beginners are trained, mentored and evaluated.

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.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.112
GPT teacher head0.519
Teacher spread0.407 · 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