Bibliographic record
Abstract
Eldercare in the 21st century will become a primary source of employment as boomers age. Already many states support Medicare reimbursement for time spent caring for family members. More than one quarter of the adult population has provided care for a chronically ill, disabled, or aged family member or friend during the past year. According to the National Family Caregiver Alliance (2000), elderly spousal caregivers (age 66-96) who experience caregiving-related stress have a 63 per cent higher mortality rate than non-caregivers of the same age. They the ten years younger than the person for whom they are caring. These statistics point to a need for a Family Caregiver Wellness Model. Relationship between Caregiving and Career The definition of caregiver relates closely to the definition of career. A caregiver or carer attends to the needs of a child or an adult. In Old French, camera meant street; in Medieval Latin, (via) carraria was road for carts in Latin, carrus was a Galic type of wagon. In all these meanings, the word care is related to a journey. If we think of the role of caregiver as designated driver of a vehicle on a journey that can take one in many directions, with alternative decision-making options, rather than as one road, then the role becomes richer, more variable, and open to exploration, learning, and infinite possibilities for both enhancing the care of loved one, for self-care, and for deepening family relationships. This interpretation may seem absurd to many who are in the midst of the caregiving process and who hope for one day to be free of caregiving responsibilities and the need to solve problems collectively with other members of the family support team. However, as boomers (who comprise the largest sector of the population in Western society) grow older, the caregiving role is becoming increasingly important. When aging relatives pass, family members and other loved ones in the baby boomer generation will need care and boomers will spend more and more time caring for their own aging needs. The original definition of career is a course of passage through life. More recently it has been defined as the progression of one's working life or one's professional achievements. It can include both paid and unpaid work. Caregiving is a career that includes both responsibility and the opportunity for self-development and shared growth with other members of the caregiving team. With this connection in mind, career counselors and other caring professionals are especially suited to extending their services to provide support for caregivers. Caregiving in the United States In the United States, family members often are do not live near each other when the children become adults. Unlike families in many parts of the world, we are disconnected from death, grieving, and the aging process until a crisis erupts. When I mentioned the need for caregiver support and education in the United State to colleagues who live in other countries, they said that in their country elders usually live with their adult children and take care of their grandchildren while their adult children work. This was the living situation in my family of origin. When my grandmother died, my grandfather alternately lived with either my family or my aunt's family. Well into his 80s, he had the responsibility of preparing lunch for my grade-school cousin when my aunt and uncle were both working. I am not calling for us to recapture this live-in aging parents arrangement, but we do need to re-establish strong support systems in the community (Muscat, 2007), as well as in the family. Meeting the Challenges of Family Caregivers Counselors have the basic skills to support caregivers - such as helping techniques, ability to facilitate groups, formal and informal assessment strategies, multicultural sensitivity, familiarity with counseling theories and models, and adherence to ethical and legal standards. …
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".