PROGRAMAS DE MENTORING: APRENDENDO COM A REALIDADE CANADENSE.
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.
Bibliographic record
Abstract
Programas de mentoring no mundo do trabalho são colocados em prática para responder a uma ampla variedade de necessidades individuais e organizacionais. Este artigo tem dois principais objetivos. O primeiro deles é descrever os elementos da estrutura lógica proposta por Marceau e colaboradores (1992) que definem um programa de ação em oito componentes. Essa estrutura, como será evidenciada ao longo deste artigo, é de grande utilidade para os interessados em coordenar e desenvolver programas de mentoring. O segundo objetivo é exemplificar tal abordagem, referenciando-a com a rica experiência canadense transmitida pelo programa de mentoring da Fondation de l´entrepreneurship, que opera na região de Quebec dando apoio a empresários iniciantes e sustentabilidade a seus negócios. Abstract: Mentoring program and the world of work are put in place to respond to a large range of needs, whether experienced by individuals on their career path or identified by the organization as part of its resource management. This paper has two main objectives. The first one is present the components of the logical framework proposed by Marceau, Otis and Simard (1992) that defines a program in eight components: mission, targets, goals, type of initiative, inputs, production activities, outputs, effects and repercussions. The second objective is return to the definition proposed by these authors and adapt them to refer to a relevant Canadian mentoring Program, set up by the Fondation de l´entrepreneurship, located in Quebec City.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it