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Record W1522188607 · doi:10.1108/09670731211249413

Covenant creates a healthy talent pool

2012· article· en· W1522188607 on OpenAlex
Tim H. Vanderpyl

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Resource Management International Digest · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsCovenant Health
Fundersnot available
KeywordsCasualSuccession planningCertificateOriginalityAccreditationPosition (finance)Health careValue (mathematics)CovenantBusinessPublic relationsPsychologyNursingMedical educationOperations managementManagementMedicineComputer sciencePolitical scienceEngineeringFinanceSocial psychologyLawEconomics

Abstract

fetched live from OpenAlex

Purpose This paper aims to describe how Covenant Health has developed an ongoing talent pool of health‐care aides (HCAs) to staff its health‐care facilities at St Therese Villa (STV), a designated assisted‐living (DAL) seniors' care facility in Southern Alberta. Design/methodology/approach The paper explains the reasons for the initiative, the form it takes and the results it is achieving. Findings The paper reveals that the STV training program starts with 15 days in a classroom dealing with proper lifting procedures, medication delivery and caring for dementia patients. Each candidate then job shadows other experienced HCAs for 12 shifts. They are evaluated by their future peers and the experienced HCAs submit written evaluations. Successful candidates are then offered a casual HCA position and begin covering shifts. They then serve a 500‐hour probationary period and complete a recognized HCA certificate through an accredited Canadian college. Practical implications The paper explains that the program allows STV consistently to have a pool of people available who are trained exactly how the facility wants them to be. It anticipates turnover and provides recruits in advance of that turnover, who can step into a position immediately. This process also allows employees to learn and grow in a safe environment with constant supervision around them. Social implications The paper highlights how a similar type of training program could be adapted in some other high‐labor‐turnover fields. Originality/value The paper provides the inside story of a successful succession‐planning initiative.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.385
Teacher spread0.313 · 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