Bibliographic record
Abstract
In these extraordinary times where the world is struggling to battle the COVID-19 pandemic, it is difficult to respond with the right mix of words and actions. The coronavirus has been with us well into 2020 with devastating effects on the social, political, and economic fabric of many countries, and on the health of their people. Once this editorial finds its way into print, I have no doubt that the disastrous impacts will continue to be felt, and that, in turn, the heroic efforts of our health care professionals in caring for their patients, colleagues, friends, families, and themselves, will also continue. We at JCEHP are here to keep providing continuing professional development (CPD) scholarly resources to help support this struggle. In my recent editorial, I coined the phrase the CPD imagination1 as a way of thinking about and practicing CPD differently so as to support the delivery of the most effective health care possible. Even in the best of times, many health care professionals in the myriad of health care systems around the world are under strain. The pressures they experience can lead to burnout that is characterized across three dimensions: emotional exhaustion, depersonalization/cynicism, and a reduced sense of personal accomplishment.2 This not only affects the individual health of our clinical colleagues, but also that of the health care systems they work in and the populations they serve. Burnout is a perennial problem in health care that it could be argued has now taken on a new character and a sense of urgency that is commensurate with the magnitude of the pandemic itself. It is easy to imagine how the new conditions of health care delivery under COVID-19 can sap the energy of health care professionals and take away the time needed to reflect on every day clinical problems. During these days, the exercise of the CPD imagination to create solutions to new pressing clinical problems is indeed, a daunting challenge. In turn, JCEHP faces challenges in supporting the generation of innovative forms of CPD to respond to this healthcare crisis in a timely manner. As a quarterly journal, JCEHP is not ideally placed to act as the best medium to engage in real-time support of clinicians attempting to create new effective CPD interventions under fast-moving pandemic conditions. Nonetheless, we are making a modest attempt during these troubling times through a new call for CPD articles, with the purpose of fostering a more dynamic ongoing dialogue for the JCEHP readership, in order to support the exercise of the CPD imagination in our global community. The JCEHP COVID-19 call for articles is intentionally broad so as to be inclusive of all the obvious, and not-so-obvious, clinical training and practice implications that may require new forms of CPD related to COVID-19. The focus is on health care providers' CPD needs and CPD intervention responses to those needs, inviting both the revisiting of long-standing issues and the demonstration and interrogation of new CPD challenges. We have also created a new article category to serve this dual purpose: Rapid Communications: these articles are intended to cater to concise research or report findings related to CPD of high priority. As an example, I am pleased to introduce our first Rapid Communication in this issue where two of our editorial board members, Drs. Price and Campbell,3 raise questions around the issue of competency in the age of COVID-19, and the implications that our new health care context has for current and future physician CPD.3Rapid Communications will have an expedited review process and revision time, as will Short Report and Forum articles that address COVID-19 CPD issues.4 In addition, JCEHP will move as quickly as possible to provide free online access to published ahead-of-print COVID-19 articles to maximize their availability and hopefully their utility for our CPD colleagues around the world. From the team at JCEHP, please stay safe.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.161 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.019 | 0.024 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".